IEyal's Stars
AI4Finance-Foundation/FinRL-Tutorials
Tutorials. Please star.
hudson-and-thames/arbitrage_research
Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.
joeloskarsson/continuous-temporal-gnn
Code for the paper "Temporal Graph Neural Networks with Time-Continuous Latent States"
hudson-and-thames/arbitragelab
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.
meta-llama/llama3
The official Meta Llama 3 GitHub site
4d6174686973/financial-machine-learning
Implementation of financial machine learning methods from Marcos Lopez de Prado
PacktPublishing/Deep-Reinforcement-Learning-Hands-On-3E
Deep Reinforcement Learning Hands-On, 3E_Published by Packt
gkamradt/langchain-tutorials
Overview and tutorial of the LangChain Library
kriscelmer/aiapps-intro
AI Apps with ChatGPT and LangChain: The Introduction
TryGhost/Ghost
Independent technology for modern publishing, memberships, subscriptions and newsletters.
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
hudson-and-thames/meta-labeling
Code base for the meta-labeling papers published with the Journal of Financial Data Science
georgezouq/awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
ChengeYang/Human-Pose-Estimation-Benchmarking-and-Action-Recognition
Deep Learning Project.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
burakbayramli/books
Source code for 200+ books, kept here for quick reference
mhallsmoore/qstrader
QuantStart.com - QSTrader backtesting simulation engine.
PacktPublishing/Feature-Engineering-Made-Easy
Feature Engineering Made Easy, published by Packt
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
cvxgrp/cvxportfolio
Portfolio optimization and back-testing.
NYUMedML/DeepEHR
Chronic Disease Prediction Using Medical Notes
njfritter/myersBriggsNLPAnalysis
Natural Language Processing project in tweets labeled by Myers Briggs Personality Type
Walter0807/MotionBERT
[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"
facebookresearch/DomainBed
DomainBed is a suite to test domain generalization algorithms
Goschjann/ssltsc
Codebase for the Paper "Deep Semi-supervised Learning (SSL) for Time Series Classification (TSC)" to appear at the ICMLA '21
kodecocodes/rwf-materials
The projects and materials that accompany the Real-World Flutter by Tutorials book
yhilpisch/aiif
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
HumanCompatibleAI/imitation
Clean PyTorch implementations of imitation and reward learning algorithms
reinforcement-learning-kr/lets-do-irl
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
fabiorodp/uio_master_thesis