renormalizedkat,github

large_language_model_hub

Papers, tutorials, code for large language models

lecun1989-repro

Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.

lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

llama_index

LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.

llm-foundry

LLM training code for MosaicML foundation models

llm-reasoning-papers

Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.

llmsurvey

A collection of papers and resources related to Large Language Models.

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

megatron-lm

Ongoing research training transformer models at scale

metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

micrograd

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

microrts-py

A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)

mingpt

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

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

minigrid

Simple and easily configurable grid world environments for reinforcement learning

ml-course-notes

🎓 Sharing machine learning course / lecture notes.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.