Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Fast and Accurate ML in 3 Lines of Code
Bindu: The identity, communication, and payments layer for AI agents.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
AutoML library for deep learning
An open source python library for automated feature engineering
Efficiently computes derivatives of NumPy code.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Lightning ⚡️ fast forecasting with statistical and econometric models.
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.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
MLBox is a powerful Automated Machine Learning python library.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
An autoML framework & toolkit for machine learning on graphs.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
A tool for semi-automatic cell type classification