scikit-learn: machine learning in Python
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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.
- quantitative-finance
- machine-learning
- stock-data
- platform
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Making large AI models cheaper, faster and more accessible
- deep-learning
- hpc
- large-scale
- data-parallelism
Simulation platform for general-purpose robotics & embodied AI learning.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
- pandas-profiling
- pandas-dataframe
- statistics
- jupyter-notebook
Open Machine Learning Course
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
- academia
- arxiv
- brave
- deep-research
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
A library of reinforcement learning components and agents
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.
Accelerated deep learning R&D
Visualize and compare datasets, target values and associations, with one line of code.
- pandas-dataframe
- eda
- pandas
- data-exploration
:sunglasses: A curated list of robotics libraries and software
- robotics-libraries
- multibody-dynamics
- simulation
- robotics
Message Passing Neural Networks for Molecule Property Prediction
- machine-learning
- chemistry
- neural-networks
- drug-discovery
Optax is a gradient processing and optimization library for JAX.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
- diffusion-models
- docking
- binding
- computational-biology
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
A research toolkit for particle swarm optimization in Python
- particle-swarm-optimization
- optimization-tools
- pso
- global-optimization
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
- machine-learning
- generative-models
- drug-discovery
- benchmark