Little Boat

MaterialDFT-Public. Shell

MaterialDFT-Demo. C++

SQMesh-Public. Opensource version of SQMesh

amplifier. Shell

ART. Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!

open_lm. A repository for research on medium sized language models.

TinyLlama. The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

fin-llama. LLAMA specialized on finance

amazing-bard-prompts. This repo includes Google Bard prompt curation to use Bard better.

textgen. Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.

lit-llama. Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

ChuanhuChatGPT. GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

EasyLM. Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

baize-chatbot. Let ChatGPT teach your own chatbot in hours with a single GPU!

FastChat. An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

pyllama. LLaMA: Open and Efficient Foundation Language Models

rlkit. Collection of reinforcement learning algorithms

Denoise-Transformer-AutoEncoder. Python

pyprobml. Python code for "Probabilistic Machine learning" book by Kevin Murphy

RAdam. On the Variance of the Adaptive Learning Rate and Beyond

numpy-ml. Machine learning, in numpy

stylegan. StyleGAN - Official TensorFlow Implementation

mrrobot. A Self Driving Remote Control Car

AutoRCCar. OpenCV Python Neural Network Autonomous RC Car

higgsfield. Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

PhotoLabeller. Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer

AREL. Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"

reinforcement-learning-an-introduction. Python Implementation of Reinforcement Learning: An Introduction

darts. Differentiable architecture search for convolutional and recurrent networks

practical-torchtext. A set of tutorials for torchtext

shap. A game theoretic approach to explain the output of any machine learning model.

nitrain. Train AI models efficiently on medical images using any framework

pytorch-qrnn. PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

awd-lstm-lm. LSTM and QRNN Language Model Toolkit for PyTorch

gradient-checkpointing. Make huge neural nets fit in memory

EAS. Efficient Architecture Search by Network Transformation, in AAAI 2018

MAgent. A Platform for Many-Agent Reinforcement Learning

Black-Boxxy. Some experiments into explaining complex black box ensemble predictions.

xlearn. High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

lime. Lime: Explaining the predictions of any machine learning classifier

nnvm. C++

category_encoders. A library of sklearn compatible categorical variable encoders

xgboostExplainer. An R package that makes xgboost models fully interpretable

stanford-corenlp. Python wrapper for Stanford CoreNLP.

TensorFlow-Examples. TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

keras. Deep Learning for humans

pyensemble. An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn

vowpal_wabbit. Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

xgboost. Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow