Lists (22)
Active Learning
Books
Code Style & Readability
Includes repos regarding code style, code reformatting, linting and similiar tasks.Computer Vision
Data Management
Experiment Management
Explainability
Finance
JAX
Monte Carlo Simulation
Neural Networks
Papers
Project Management
Quant
Quantitive Finance
Reinforcement Learning
Robotic
Simulation
Simulation-Based Inference
Software Generation
Timeseries Forecast
Tools
Stars
A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)
A lightweight, zero-configuration performance profiler for FastAPI applications
Generate probability distributions for the future price of publicly traded securities using options data.
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
PyTorch native quantization and sparsity for training and inference
End-to-end stack for WebRTC. SFU media server and SDKs.
A library to model multivariate data using copulas.
A light-weight, flexible, and expressive statistical data testing library
Learning function operators with neural networks.
Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
Describes a method for moving a directory in one git repository to a new path in another repository
A Git-compatible VCS that is both simple and powerful
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
A system for scientific simulation-based inference at scale.
⚡ Flashbax: Accelerated Replay Buffers in JAX
IVON optimizer for neural networks based on variational learning.
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
🙈 Volkswagen detects when your tests are being run in a CI server, and makes them pass.
ML-Ensemble – high performance ensemble learning
Python library for portfolio optimization built on top of scikit-learn
A Python library for evaluating option trading strategies.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
Python sample codes and textbook for robotics algorithms.
Paper list of multi-agent reinforcement learning (MARL)
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto,…