Stars
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
FinRL®: Financial Reinforcement Learning. 🔥
Investment Research for Everyone, Everywhere.
PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.
This is a bot that will buy a PS5 through Walmart. It's written in python and uses selenium to interact with web pages. *WORK IN PROGRESS*
Built Machine Learning for Asset Clustering and Allocation
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…
fvid is a project that aims to encode any file as a video using 1-bit color images to survive compression algorithms for data retrieval.
Implementation for "Deeper Task-Specificity Improves Joint Entity and Relation Extraction"
A Python-embedded modeling language for convex optimization problems.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Tools to work with the big reddit JSON data dump.
A repo for data science related questions and answers
Quantitative Interview Preparation Guide, updated version here ==>
Answers to 120 commonly asked data science interview questions.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Collection of probabilistic models and inference algorithms
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and …
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Linear SVM optimization from scratch.
scikit-learn: machine learning in Python