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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

bbci_public

MATLAB toolbox for Brain-Computer Interfacing (BCI)

cnnvisualizer

Visualizer for Deep Neural Networks

deep-vector-quantization

VQVAEs, GumbelSoftmaxes and friends

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

get-started-with-jax

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

mars

mc_gradients

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nn-zero-to-hero

Neural Networks: Zero to Hero

nodejs.org

The Node.js website.

pixart-alpha

Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

pytorch-gans

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

pytorch-lora

LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch

pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

quantization-notes

Notes on quantization in neural networks

stellar-metrics

Official Code for the evaluation metrics of Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods

transformer-scratch

transformer_scratch