A simple library for scaling up JAX programs

Material for gpu-mode lectures

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

Jax/Flax rewrite of Karpathy's nanoGPT

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

DSPy: The framework for programming—not prompting—language models

Structured state space sequence models

Solutions of Reinforcement Learning, An Introduction

A playbook for systematically maximizing the performance of deep learning models.

Code for the paper Fine-Tuning Language Models from Human Preferences

Multi-purpose lens modeling software package

Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)

🎓 Path to a free self-taught education in Computer Science!

JAX - A curated list of resources https://github.com/google/jax

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

Supercharge Your Model Training

The most parameter efficient machine learning models on a few popular benchmarks

Transfer Learning library for Deep Neural Networks.

Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.

Fast and Easy Infinite Neural Networks in Python

computation of convolutional kernels (CKN and NTK) in C++

Dataset Condensation (ICLR21 and ICML21)

Open-source code for paper "Dataset Distillation"

Pythonic RBM in Numpy

Matplotlib styles for scientific plotting

Research language for array processing in the Haskell/ML family