/mildlyoverfitted

Paper implementations from scratch and machine learning tutorials

Primary LanguagePythonMIT LicenseMIT

mildlyoverfitted

Code for https://www.youtube.com/c/mildlyoverfitted.

Overview

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