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Massively Parallel Deep Reinforcement Learning. ๐ฅ
็ผ ไธญ่ฏด็ฆ ๆๆฏๅๆๅทฅๅ ท๏ผ็ผ ่ฎบ๏ผ่ก็ฅจ๏ผๆ่ดง๏ผQuant๏ผ้ๅไบคๆ
Scalable and user friendly neural ๐ง forecasting algorithms.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and yoโฆ
A live stream development of RL tunning for LLM agents
[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat
Environments for LLM Reinforcement Learning
High-Performance Symbolic Regression in Python and Julia
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Statistical and Algorithmic Investing Strategies for Everyone
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Algorithmic Trading in Python with Machine Learning
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
[NeurIPS 2025 D&B] Open-source Multi-agent Poster Generation from Papers
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
๐ฐ Cryptocurrency Trading Bot for Binance (Experimental)
Bitcoin arbitrage - opportunity detector
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
๐ ๐ป Deep Learning based Python Library for Stock Market Prediction and Modelling
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.