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🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

Machine learning metrics for distributed, scalable PyTorch applications.

An intuitive library to add plotting functionality to scikit-learn objects.

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

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

A modular active learning framework for Python

Source-to-Source Debuggable Derivatives in Pure Python

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

Optax is a gradient processing and optimization library for JAX.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

A Python package to assess and improve fairness of machine learning models.

Feature engineering and selection open-source Python library compatible with sklearn.

An open source library and framework for deep learning on satellite and aerial imagery.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

TFX is an end-to-end platform for deploying production ML pipelines

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

Repository containing notebooks of my posts on Medium

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Python library for portfolio optimization built on top of scikit-learn

🤖 A powerful, lightweight JavaScript library + interactive CLI for ChatGPT

Build LLM-powered applications in Ruby

A Julia machine learning framework

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Natural Gradient Boosting for Probabilistic Prediction

Genetic Programming in Python, with a scikit-learn inspired API

A comprehensive guide to building RAG-based LLM applications for production.

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

Large-scale LLM inference engine

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.