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OpenMMLab Foundational Library for Training Deep Learning Models

A Graph Neural Network Library in Jax

Metric learning algorithms in Python

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

A research toolkit for particle swarm optimization in Python

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

XAI - An eXplainability toolbox for machine learning

Scalable machine 🤖 learning for time series forecasting.

Earth observation processing framework for machine learning in Python

Bringing together outstanding artificial intelligence (AI) open source projects from around the world.

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

Portfolio optimization with deep learning.

Lightning fast data version control system for large repositories of data. Feels like git, pushes and pulls like oxen.

PySpark + Scikit-learn = Sparkit-learn

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

FAIR Sequence Modeling Toolkit 2

An autoML framework & toolkit for machine learning on graphs.

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

fastFM: A Library for Factorization Machines

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Build agents which are controlled by LLMs

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

allRank is a framework for training learning-to-rank neural models based on PyTorch.

Pretrained model hub for Keras 3.

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more