Code for https://www.youtube.com/c/mildlyoverfitted.
| Name | Video | Code |
|---|---|---|
| Asynchronous requests and rate limiting | link | link |
| BentoML Sagemaker deployment | link | link |
| Custom optimizer in PyTorch | link | link |
| Deploying machine learning models on Kubernetes | link | link |
| Differentiable augmentation for GANs (using Kornia) | link | link |
| DINO in PyTorch | link | link |
| Few-shot text classification with prompts | link | link |
| GPT in PyTorch | link | link |
| Gradient with respect to input in PyTorch (FGSM attack + Integrated Gradients) | link | link |
| Growing neural cellular automata in PyTorch | link | link |
| Haiku basics | link | link |
| Integer embeddings in PyTorch | link | link |
| Mixup in PyTorch | link | link |
| MLP-Mixer in Flax and PyTorch | link | link |
| Mocking neural networks: unit testing in deep learning | link | link |
| NER model evaluation | link | link |
| NumPy equality testing | link | link |
| OpenAI function calling | link | link |
| PonderNet in PyTorch | link | link |
| Product quantization in Faiss and from scratch | link | link |
| Retrieval augmented generation with OpenSearch and reranking | link | link |
| SIREN in PyTorch | link | link |
| The Lottery Ticket Hypothesis and pruning in PyTorch | link | link |
| The Sensory Neuron as a Transformer in PyTorch | link | link |
torch.nn.Embedding explained (+ Character-level language model) |
link | link |
| Vision Transformer in PyTorch | link | link |
| Visualizing activations with forward hooks (PyTorch) | link | link |
