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DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！

Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

AdalFlow: The library to build & auto-optimize LLM applications.

Build data pipelines, the easy way 🛠️

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.

OpenAgents - AI Agent Networks for Open Collaboration

A highly efficient implementation of Gaussian Processes in PyTorch

A library for mechanistic interpretability of GPT-style language models

Bayesian optimization in PyTorch

Synthetic data generation for tabular data

Algorithmic Trading in Python with Machine Learning

Evaluation and Tracking for LLM Experiments and AI Agents

The platform for LLM evaluations and AI agent testing

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

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

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

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.

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

A static website and blog generator

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

FMA: A Dataset For Music Analysis

Colour Science for Python

Phishing Campaign Toolkit

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Automatic architecture search and hyperparameter optimization for PyTorch

Seamlessly integrate LLMs as Python functions