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Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.

Open Source AI Infra & Engineering Control Plane

The official Python client for the Hugging Face Hub.

Models, data loaders and abstractions for language processing, powered by PyTorch

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Seamlessly integrate LLMs into scikit-learn.

Synthetic data generation for tabular data

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

Accelerated deep learning R&D

JAX-based neural network library

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

GeoAI: Artificial Intelligence for Geospatial Data

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

StellarGraph - Machine Learning on Graphs

Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Learning to Rank in TensorFlow

Deep neural network to extract intelligent information from invoice documents.

FMA: A Dataset For Music Analysis

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

Automatic architecture search and hyperparameter optimization for PyTorch

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Machine learning metrics for distributed, scalable PyTorch applications.

SDG is a specialized framework designed to generate high-quality structured tabular data.

Graph Neural Networks with Keras and Tensorflow 2.