Early stopping for PyTorch
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Nov 11, 2024 - Jupyter Notebook
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early-stopping
Here are 95 public repositories matching this topic...
A guide that integrates Pytorch DistributedDataParallel, Apex, warmup, learning rate scheduler, also mentions the set-up of early-stopping and random seed.
pytorch distributed apex warmup early-stopping learning-rate-scheduling pytorch-distributeddataparallel random-seeds
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May 22, 2022 - Python
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
localization deep-learning cnn transfer-learning vgg16 imbalanced-data oversampling fine-tuning gradcam pneumonia radiographs early-stopping pytorch-implementation resnet18 densenet121 xrays covid-19
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May 15, 2021 - Jupyter Notebook
AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
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Jun 9, 2021 - Python
Fashion Mnist image classification using cross entropy and Triplet loss
python3 pytorch image-classification tensorboard triplet-loss triplet fashion-mnist fashionmnist early-stopping fashion-mnist-dataset triplet-margin-loss triplet-neural-network triplet-networks
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Mar 5, 2020 - Python
The objective of this projects is to build a CNN model to accurately detect the presence of Parkinson’s disease in an individual.
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Jan 23, 2022 - Jupyter Notebook
A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
dart scikit-learn sklearn lightgbm hacktoberfest sklearn-compatible tqdm early-stopping lgbm lightgbm-dart
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Mar 13, 2026 - Python
This repository contains my code solutions to Udacity's coursework 'Intro to Deep Learning with PyTorch'.
neural-network optimizer dropout style-transfer regularization momentum transfer-learning kernels pooling-layers cnn-architecture rnn-pytorch early-stopping gram-matrix lstm-architecture error-function
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Jun 5, 2023 - Jupyter Notebook
A deep learning model to predict loan default probabilities for the African Credit Scoring Challenge.
deep-learning tensorflow numpy scikit-learn pandas seaborn matplotlib adam-optimizer relu early-stopping
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May 7, 2025 - Jupyter Notebook
Project made in Jupyter Notebook with "News Headlines Dataset For Sarcasm Detection" from Kaggle.
visualization python data-science machine-learning deep-learning embeddings gru accuracy logistic-regression bayes-classifier lstm-neural-networks keras-tensorflow support-vector-classifier sarcasm-detection global-average-pooling sgd-classifier early-stopping simplernn
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Jun 15, 2022 - Jupyter Notebook
nlp word-embeddings lstm gru neural-networks lstm-model stemming lemmatization kaggle-dataset countvectorizer glove-embeddings gru-model tf-idf-vectorizer onehot-encoder news-dataset early-stopping reducelearningrate onehot-encoding fake-real-news-dataset sequence-padding
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Sep 30, 2020 - Jupyter Notebook
some scripts using deepchem
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Nov 19, 2019 - Python
Flexible PyTorch Trainer boilerplate template - simplifies training, validation, and testing of models.
training template boilerplate machine-learning flexible deep-learning custom test pytorch fit train trainer predict early-stopping pytorch-template pytorch-trainer pytorch-trainer-template training-loop
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Jul 21, 2025 - Python
While using pytorch library and cat dog dataset, I tried to preserve clean code. Some extra properties added.
python clean-code plot pytorch classification readability checkpoints early-stopping pytorch-implementation binary-c
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Aug 24, 2024 - Python
Implementation of early stopping in tensorflow based on any chosen metric
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Jun 30, 2019 - Python
Showcasing advanced deep learning projects utilizing CNNs and RNNs for tasks like image classification, customer churn prediction, and fake news detection. Demonstrates expertise in data preprocessing, model building, training, and evaluation to solve real-world problems.
python machine-learning tensorflow keras cnn rnn image-classification data-preprocessing model-evaluation model-building model-training early-stopping customer-churn-prediction fake-news-detection real-world-projects
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Nov 21, 2024 - Jupyter Notebook
Features injected recurrent neural networks for short-term traffic speed prediction
deep-learning keras intelligent-transportation-systems time-series-analysis feature-fusion early-stopping scikit-learning traffic-state-estimation model-checkpoint contextual-factors traffic-speed-forecasting
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Aug 6, 2021 - Python
A quick image classifier trained with manually selected One Piece images.
python docker machine-learning deep-neural-networks computer-vision deep-learning notebook tensorflow keras batch-normalization classification image-classification image-classifier jupyterlab convolutional-neural-networks transfer-learning data-augmentation tensorflow-serving classification-model early-stopping
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May 1, 2022 - Jupyter Notebook
Algorithmic implementation of Multivariate Linear Regression built entirely with NumPy, featuring Ridge (L2) Regularization and Early Stopping via Batch Gradient Descent. Includes a robust preprocessing pipeline, comprehensive evaluation metrics, and performance benchmarking against Scikit-learn on the California Housing dataset.
python machine-learning numpy regularization gradient-descent ridge-regression model-evaluation early-stopping
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Oct 23, 2025 - Jupyter Notebook
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