README.md

Research Models

Computer Vision

Image Classification

model	paper	vanilla mindspore
lenet	Gradient-Based Learning Applied to Document Recognition	link
googlenet	Going Deeper with Convolutions	link
inception_resnet_v2	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	link
inceptionv2	Rethinking the Inception Architecture for Computer Vision	link
nasnet	Learning Transferable Architectures for Scalable Image Recognition	link
densenet100	Densely Connected Convolutional Networks	link
densenet121	Densely Connected Convolutional Networks	link
dpn	Dual Path Networks	link
efficientnet-b0	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	link
mobilenetv3_large	Searching for MobileNetV3	link
mobilenetV3_small_x1_0	Searching for MobileNetV3	link
squeezenet	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	link
ghostnet	GhostNet: More Features from Cheap Operations	link
ghostnet_d	GhostNets on Heterogeneous Devices via Cheap Operations	link
tinydarknet	You Only Look Once: Unified, Real-Time Object Detection	link
sppnet	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	link
res2net101	Res2Net: A New Multi-scale Backbone Architecture	link
res2net152	Res2Net: A New Multi-scale Backbone Architecture	link
res2net50	Res2Net: A New Multi-scale Backbone Architecture	link
resnext50	Aggregated Residual Transformations for Deep Neural Networks	link
resnest50	ResNeSt: Split-Attention Networks	link
resnet50_adv_pruning	SCOP: Scientific Control for Reliable Neural Network Pruning	link
resnet50_bam	BAM: Bottleneck Attention Module	link
resnet50-quadruplet	Beyond triplet loss: A deep quadruplet network for person re-identification	link
se_resnext50	Squeeze-and-Excitation Networks	link
senet_resnet101	Squeeze-and-Excitation Networks	link
senet_resnet50	Squeeze-and-Excitation Networks	link
se-res2net50	Res2Net: A New Multi-scale Backbone Architecture	link
se_resnext50	Squeeze-and-Excitation Networks	link
s-ghostnet	Greedy Network Enlarging	link
sknet	Selective Kernel Networks	link
resnetv2_101	Identity Mappings in Deep Residual Networks	link
resnetv2_152	Identity Mappings in Deep Residual Networks	link
resnetv2_50	Identity Mappings in Deep Residual Networks	link
resnetv2_50_frn	Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks	link
resnext152_64x4d	Aggregated Residual Transformations for Deep Neural Networks	link
hrnet_w48_cls	Deep High-Resolution Representation Learning for Visual Recognition	link
simclr	A Simple Framework for Contrastive Learning of Visual Representations	link
augvit	Augmented Shortcuts for Vision Transformers	link
autoaugment	AutoAugment: Learning Augmentation Policies from Data	link
ava_cifar	AVA: Adversarial Vignetting Attack against Visual Recognition	link
ava_hpa	AVA: Adversarial Vignetting Attack against Visual Recognition	link
pdarts	Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild	link
pnasnet	Progressive Neural Architecture Search	link
poseestnet	PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data	link
protonet	Prototypical Networks for Few-shot Learning	link
proxylessnas	ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	link
ntsnet	Learning to Navigate for Fine-grained Classification	link
nfnet	High-Performance Large-Scale Image Recognition Without Normalization	link
mnasnet	MnasNet: Platform-Aware Neural Architecture Search for Mobile	link
hour-nas	HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens	link
single_path_nas	Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours	link
multitasknet	PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data	link
tcn	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling	link
vig	Vision GNN: An Image is Worth Graph of Nodes	link
vit_base	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	link
convnext	A ConvNet for the 2020s	link
wave_mlp	An Image Patch is a Wave: Phase-Aware Vision MLP	link
wideresnet	Wide Residual Networks	link
tinynet	Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets	link
tnt	TNT: Target-driveN Trajectory Prediction	link
cait	Going deeper with Image Transformers	link
ssc_resnet50	Comatch: Semi-supervised learning with contrastive graph regularization	link
snn_mlp	Brain-inspired Multilayer Perceptron with Spiking Neurons	link
relationnet	Learning to Compare: Relation Network for Few-Shot Learning	link
cbam	CBAM: Convolutional Block Attention Module	link
cct	Escaping the Big Data Paradigm with Compact Transformers	link
drnet	Dynamic Resolution Network	link
fda-bnn	Learning Frequency Domain Approximation for Binary Neural Networks	link
fishnet99	FishNet: a versatile backbone for image, region, and pixel level prediction	link
genet_res50	Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks	link
glore_res200	Graph-Based Global Reasoning Networks	link
glore_res50	Graph-Based Global Reasoning Networks	link
hardnet	HarDNet: A Low Memory Traffic Network	link
ibnnet	Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net	link
isynet	ISyNet: Convolutional Neural Networks design for AI accelerator	link
ivpf	iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression	link
meta-baseline	Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning	link
maml	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	link
leo	Meta-Learning with Latent Embedding Optimization	link
auto-slim	AutoSlim: Towards One-Shot Architecture Search for Channel Numbers	link
dem	Learning a Deep Embedding Model for Zero-Shot Learning	link
triplet_loss_resnet50	Beyond triplet loss: A deep quadruplet network for person re-identification	link

Detection

model	paper	vanilla mindspore
rcnn	Rich feature hierarchies for accurate object detection and semantic segmentation	link
cascadercnn	Cascade R-CNN: Delving into High Quality Object Detection	link
retinanet_resnet101	focal loss for dense object detection	link
retinanet_resnet152	focal loss for dense object detection	link
ssd_ghostnet	SSD: Single Shot MultiBox Detector	link
ssd_inception_v2	SSD: Single Shot MultiBox Detector	link
ssd_inceptionv2	SSD: Single Shot MultiBox Detector	link
ssd_mobilenetv2	SSD: Single Shot MultiBox Detector	link
ssd_mobilenetv2_fpnlite	SSD: Single Shot MultiBox Detector	link
ssd_resnet_34	SSD: Single Shot MultiBox Detector	link
ssd_resnet34	SSD: Single Shot MultiBox Detector	link
ssd_resnet50	SSD: Single Shot MultiBox Detector	link
darknet53	YOLOv3: An Incremental Improvement	link
yolov3_resnet18	YOLOv3: An Incremental Improvement	link
yolov3_tiny	YOLOv3: An Incremental Improvement	link
nas-fpn	NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection	link
faster_rcnn_dcn	• Deformable convnets v2: More deformable, better results •Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	link
res2net_faster_rcnn	Faster R-CNN: towards real-time object detection with region proposal networks	link
res2net_yolov3	YOLOv3: an incremental improvement	link
u2net	U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection	link
deepid	Deep Learning Face Representation from Predicting 10,000 Classes	link
detr	End-to-End Object Detection with Transformers	link
efficientdet_d0	EfficientDet: Scalable and Efficient Object Detection	link
lightcnn	A Light CNN for Deep Face Representation with Noisy Labels	link
centernet	Objects as points	link
centernet_det	Objects as points	link
centernet_resnet101	Objects as points	link
centernet_resnet50_v1	Objects as points	link
m2det	M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network	link
rfcn	R-FCN: object detection via region-based fully convolutional networks	link
spnas	Serial-to-parallel backbone search for object detection	link
refine_det	Single-shot refinement neural network for object detection	link
egnet	EGNet: edge guidance network for salient object detection	link
pagenet	Salient object detection with pyramid attention and salient edges	link
ras	Reverse attention-based residual network for salient object detection	link
hed	Holistically-nested edge detection	link

Segmentation

model	paper	vanilla mindspore
3d densenet	Skip-connected 3D DenseNet for volumetric infant brain MRI segmentation	link
3d cnn	MRI tumor segmentation with densely connected 3D CNN	link
pspnet	Pyramid Scene Parsing Network	link
fastscnn	Fast-SCNN: Fast Semantic Segmentation Network	link
fcn8s	Fully convolutional networks for semantic segmentation	link
adelaide_ea	Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells	link
auto-deeplab	Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation	link
nnunet	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	link
ddm	Semi-Supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation	link
ddrnet	Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes	link
vnet	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	link
dgcnet_res101	Dual graph convolutional network for semantic segmentation	link
enet	ENet: A deep neural network architecture for real-time semantic segmentation	link
icnet	ICNet for Real-Time Semantic Segmentation on High-Resolution Images	link
hrnetw48_seg	High-Resolution Representations for Labeling Pixels and Regions	link
res2net_deeplabv3	Rethinking Atrous Convolution for Semantic Image Segmentation	link
unet3+	UNET 3+: A FULL-SCALE CONNECTED UNET FOR MEDICAL IMAGE SEGMENTATION	link
yolact++	YOLACT++: Better Real-time Instance Segmentation	link
dlinknet	D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction	link
erfnet	ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation	link
semantic human matting	Semantic Human Matting	link

Face

model	paper	vanilla mindspore
faceboxes	FaceBoxes: A CPU Real-time Face Detector with High Accuracy	link
facedetection	YOLOv3: An Incremental Improvement	link
maskedfacerecognition	Masked Face Recognition with Latent Part Detection	link
facenet	FaceNet: A Unified Embedding for Face Recognition and Clustering	link
facerecognition	Deep Residual Learning for Image Recognition	link
lresnet100e_ir	ArcFace: Additive Angular Margin Loss for Deep Face Recognition	link
centerface	CenterFace: Joint Face Detection and Alignment Using Face as Point	link
sphereface	SphereFace: Deep Hypersphere Embedding for Face Recognition	link
face-attribute	Deep Residual Learning for Image Recognition	link
face-quality-assessment	Deep Residual Learning for Image Recognition	link

OCR

model	paper	vanilla mindspore
east	EAST: An Efficient and Accurate Scene Text Detector	link
psenet	Shape Robust Text Detection with Progressive Scale Expansion Network	link
advanced_east	EAST: An Efficient and Accurate Scene Text Detector	link
textfusenet	TextFuseNet: Scene Text Detection with Richer Fused Features	link
cnnctc	What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis	link
crnn_seq2seq_ocr	Robust Scene Text Recognition with Automatic Rectification	link
essay-recogination	OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold	link

Anomaly Detection

model	paper	vanilla mindspore
patch_core	Towards Total Recall in Industrial Anomaly Detection	link
ssim-ae	Improving Unsupervised Defect Segmentation by Applying Structural Similarity To Autoencoders	link
stpm	Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection	link

Video

model	paper	vanilla mindspore
c3d	Learning Spatiotemporal Features with 3D Convolutional Networks	link
adnet	Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning	link
attentioncluster	Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification	link
ecolite	ECO: Efficient Convolutional Network for Online Video Understanding	link
fairmot	FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking	link
i3d	Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset	link
jde	Towards Real-Time Multi-Object Tracking	link
r2plus1d	A Closer Look at Spatiotemporal Convolutions for Action Recognition	link
rbpn	Recurrent Back-Projection Network for Video Super-Resolution	link
resnet3d	Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?	link
siamfc	Fully-Convolutional Siamese Networks for Object Tracking	link
siamrpn	High Performance Visual Tracking with Siamese Region Proposal Network	link
slowfast	SlowFast Networks for Video Recognition	link
stnet	StNet: Local and Global Spatial-Temporal Modeling for Action Recognition	link
tracktor	Tracking without bells and whistles	link
tracktor++	Tracking without bells and whistles	link
trn	Temporal Relational Reasoning in Videos	link
tsm	TSM: Temporal Shift Module for Efficient Video Understanding	link
tsn	Temporal Segment Networks: Towards Good Practices for Deep Action Recognition	link
predrnn++	PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning	link
deepsort	Simple Online and Realtime Tracking	link
flownet2	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	link
ArtTrack	Arttrack: articulated multi-person tracking in the wild	link
osvos	One-Shot Video Object Segmentation	link

Image Editing

model	paper	vanilla mindspore
learning to see in the dark	Learning to See in the Dark	link
dncnn	Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising	link
mimo-unet	Rethinking Coarse-to-Fine Approach in Single Image Deblurring	link
neighbor2neighbor	Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images	link
brdnet	Image denoising using deep CNN with batch renormalization	link
rdn	Residual Dense Network for Image Super-Resolution	link
srcnn	Image Super-Resolution Using Deep Convolutional Networks	link
wdsr	Wide Activation for Efficient and Accurate Image Super-Resolution	link
rcan	Image Super-Resolution Using Very Deep Residual Channel Attention Networks	link
rednet30	Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections	link
irn	Invertible Image Rescaling	link
lite-hrnet	Lite-HRNet: A Lightweight High-Resolution Network	link
sr_ea	Neural component search for single image super-resolution	link
srgan	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	link
csd	Towards Compact Single Image Super-Resolution via Contrastive Self-distillation	link
dbpn	Deep Back-Projection Networks For Super-Resolution	link
esr_ea	Efficient Residual Dense Block Search for Image Super-Resolution	link
esrgan	ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks	link
stargan	StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation	link
stgan	STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing	link
u-gat-it	U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation	link
pgan	progressive Growing of GANs for Improved Quality, Stability, and Variation	link
pix2pix	Image-to-Image Translation with Conditional Adversarial Networks	link
singan	SinGAN: Learning a Generative Model from a Single Natural Image	link
gan	Generative Adversarial Networks	link
hi face gan	HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment	link
ipt	Pre-Trained Image Processing Transformer	link
ctsdg	AImage Inpainting via Conditional Texture and Structure Dual Generation	link
cgan	Conditional Generative Adversarial Nets	link
dcgan	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	link
index net	Indices Matter: Learning to Index for Deep Image Matting	link
fcanet	FcaNet: Frequency Channel Attention Networks	link
ap drawing gan	APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs	link
arbitrary style transfer	Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization	link
aecrnet	Contrastive Learning for Compact Single Image Dehazing	link
attgan	AttGAN: Facial Attribute Editing by Only Changing What You Want	link
nima	NIMA: Neural Image Assessment	link
nima_vgg16	NIMA: Neural Image Assessment	link
pix2pix_hd	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs	link
wgan-gp	Improved Training of Wasserstein GANs	link

Re-id

model	paper	vanilla mindspore
reidstrongbaseline	A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification	link
vehiclenet	VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification)	link
osnet	Omni-Scale Feature Learning for Person Re-Identification)	link
mgn	Learning Discriminative Features with Multiple Granularities for Person Re-Identification)	link
mvd	Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification)	link
alignedreid	AlignedReID: Surpassing Human-Level Performance in Person Re-Identification)	link
alignedreid++	AlignedReID++: Dynamically matching local information for person re-identification)	link
ddag	Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification)	link

Pose

model	paper	vanilla mindspore
simple_baselines	Simple Baselines for Human Pose Estimation and Tracking	link
stacked_hourglass	Stacked Hourglass Networks for Human Pose Estimation	link
alphapose	AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time	link
simple_pose	Simple baselines for human pose estimation and tracking	link

3D

model	paper	vanilla mindspore
cmr	Convolutional Mesh Regression for Single-Image Human Shape Reconstruction	link
decomr	3D Human Mesh Regression with Dense Correspondence	link
deeplm	DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition	link
eppmvsnet	EPP-MVSNet: Epipolar-assembling based Depth Prediction for Multi-view Stereo	link
pointpillars	PointPillars: Fast Encoders for Object Detection from Point Clouds	link
oct_squeeze	Octsqueeze: Octree-structured entropy model for lidar compression	link
unet3d	Unet3D: Learning Dense Volumetric Segmentation from Sparse Annotation	link

Multi Modal

model	paper	vanilla mindspore
opt	OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation	link
tokenfusion	Multimodal Token Fusion for Vision Transformers	link
wukong	Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark	link

Others

model	paper	vanilla mindspore
depthNet	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	link
pwcnet	PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume	link
midas	Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer	link
mcnn	Single-Image Crowd Counting via Multi-Column Convolutional Neural Network	link
posenet	PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization	link
stgcn	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	link
tgcn	T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction	link
tall	TALL: Temporal Activity Localization via Language Query	link
delf	Large-Scale Image Retrieval with Attentive Deep Local Features	link
pcb_rpp	Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)	link
manidp	Manifold Regularized Dynamic Network Pruning	link

Speech

model	paper	vanilla mindspore
ctcmodel	Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks	link
dscnn	Hello Edge: Keyword Spotting on Microcontrollers	link
fastspeech	FastSpeech: Fast, Robust and Controllable Text to Speech	link
fcn-4	Automatic tagging using deep convolutional neural networks	link
jasper	Jasper: An End-to-End Convolutional Neural Acoustic Model	link
wavenet	WaveNet: A Generative Model for Raw Audio	link
speech_transformer	The Speechtransformer for Large-scale Mandarin Chinese Speech Recognition	link

Text

model	paper	vanilla mindspore
albert	ALBERT: A Lite BERT for Self-supervised Learning of Language Representations	link
atae_lstm	Attention-based LSTM for Aspect-level Sentiment Classification	link
dam	Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network	link
gpt2	Language Models are Unsupervised Multitask Learners	link
hake	Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction	link
ktnet	Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension	link
lstm_crf	Bidirectional LSTM-CRF Models for Sequence Tagging	link
luke	LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention	link
rotate	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space	link
senta	SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis	link
seq2seq	Sequence to Sequence Learning with Neural Networks	link
skipgram	Efficient Estimation of Word Representations in Vector Space	link
ternarybert	TernaryBERT: Distillation-aware Ultra-low Bit BERT	link
tprr	Answer Complex Questions: Path Ranker Is All You Need	link
transformer_xl	Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context	link
transX	Translating Embeddings for Modeling Multi-relational Data	link
cpm	A Large-scale Generative Chinese Pre-trained Language Model	link
dgu(based on bert)	Baidu Dialogue General Understanding based on Bert	link
duconv	Proactive Human-Machine Conversation with Explicit Conversation Goals	link
emotect(based on ernie)	ERNIE: Enhanced Representation through Knowledge Integration	link
ernie	ERNIE: Enhanced Representation through Knowledge Integration	link
fasttext	Bag of Tricks for Efficient Text Classification	link
gnmt_v2	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	link
mass	MASS: Masked Sequence to Sequence Pre-training for Language Generation	link
textcnn	Convolutional Neural Networks for Sentence Classification	link
tinybert	TinyBERT: Distilling BERT for Natural Language Understanding	link
textrcnn	Recurrent Convolutional Neural Networks for Text Classification	link
hypertext	HyperText: Endowing FastText with Hyperbolic Geometry	link

Graph

model	paper	vanilla mindspore
dgcn	Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification	link
sdne	Structural Deep Network Embedding	link
sgcn	Signed Graph Convolutional Networks	link
bgcf	A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks	link
gat	Graph Attention Networks	link

Recommendation

model	paper	vanilla mindspore
autodis	An Embedding Learning Framework for Numerical Features in CTR Prediction	link
DIEN	Deep Interest Evolution Network for Click-Through Rate Prediction	link
dlrm	Deep Learning Recommendation Model for Personalization and Recommendation Systems	link
EDCN	Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models	link
Fat-DeepFFM	FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine	link
mmoe	Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts	link
deep_and_cross	Deep & Cross Network for Ad Click Predictions	link
fibinet	FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction	link
naml	Neural News Recommendation with Attentive Multi-View Learning	link
ncf	Neural Collaborative Filtering	link

HPC

model	paper	vanilla mindspore
deepbsde	Pricing Barrier Options with DeepBSDEs	link
molecular_dynamics	Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics	link
ocean_model	OpenArray v1.0: a simple operator library for the decoupling of ocean modeling and parallel computing	link
pafnucy	Development and evaluation of a deep learning model for protein-ligand binding affinity prediction	link
pfnn	A penalty-free neural network method for solving a class of second-order boundary-value problems on complex geometries	link
pinns	Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.	link