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Implementation of the Nelson-Siegel-Svensson interest rate curve model.
Fuzzy Logic SciKit (Toolkit for SciPy)
A computer algebra system written in pure Python
Open source code for AlphaFold 2.
Real-time Web Dashboard for Optuna.
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the …
Genetic Programming in Python, with a scikit-learn inspired API
Automatic extraction of relevant features from time series:
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Common financial risk and performance metrics. Used by zipline and pyfolio.
Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks
Tensorforce: a TensorFlow library for applied reinforcement learning
This repository is for the demonstration of our work, "Market Making with Deep Reinforcement Learning from Limit Order Books"
The interactive graphing library for Python ✨
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
Time series forecasting with PyTorch
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).