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Academia, research & booksAI & ML
Business
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Dev Ops & Infrastructure toolsFinance - Data etc
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RL Trading
Reinforcment Learning for trading repoStars
Physics-Informed Neural networks for Advanced modeling
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
A nimble options backtesting library for Python
Democratizing Index Tracking for Small Investors in Europe: A Meta-Learning Method for Sparse Portfolio Optimization
FinRL-Meta: Dynamic datasets and market environments for FinRL.
Quick start for modern LaTeXing for an IEEE conference
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A course in reinforcement learning in the wild
Python Implementation of Reinforcement Learning: An Introduction
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
An educational resource to help anyone learn deep reinforcement learning.
Automatic extraction of relevant features from time series:
A unified framework for machine learning with time series
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
FinRL: Financial Reinforcement Learning. 🔥
microprediction / Riskfolio-Lib
Forked from dcajasn/Riskfolio-LibPortfolio Optimization and Quantitative Strategic Asset Allocation in Python
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.
Merlion: A Machine Learning Framework for Time Series Intelligence
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Time series forecasting with PyTorch