kaboya19's Stars
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
goldmansachs/gs-quant
Python toolkit for quantitative finance
firmai/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
mfrdixon/ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
raminmh/liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
quantopian/empyrical
Common financial risk and performance metrics. Used by zipline and pyfolio.
linkedin/luminol
Anomaly Detection and Correlation library
pskrunner14/trading-bot
Stock Trading Bot using Deep Q-Learning
llSourcell/ChatGPT_Trading_Bot
This is the code for the "ChatGPT Trading Bot" Video by Siraj Raval on Youtube
jankrepl/deepdow
Portfolio optimization with deep learning.
tatsath/fin-ml
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
AI4Finance-Foundation/FinRL-Tutorials
Tutorials. Please star.
nicknochnack/MLTradingBot
Albert-Z-Guo/Deep-Reinforcement-Stock-Trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
golsun/deep-RL-trading
playing idealized trading games with deep reinforcement learning
marcopeix/time-series-analysis
Collection of notebooks for time series analysis
AI-Guru/xlstm-resources
Resources about xLSTM by Sepp Hochreiter
THINK989/Real-Time-Stock-Market-Prediction-using-Ensemble-DL-and-Rainbow-DQN
nicknochnack/Reinforcement-Learning-for-Trading
A walkthrough of using the gym-anytrading environment for reinforcement learning applications leveraging custom datasets.
myscience/x-lstm
Pytorch implementation of the xLSTM model by Beck et al. (2024)
zshicode/MambaStock
MambaStock: Selective state space model for stock prediction
AI4Finance-Foundation/FinML
FinML: A Practical Machine Learning Framework for Dynamic Stock Selection
franckalain/financial-machine-learning
PravCoder/Stock_Price_Predictor
Batch-scoring system that predicts stock prices using ML 3-pipeline design.
Yuanzhe-Jia/ResNLS
ResNLS: An Improved Model for Stock Price Forecasting
AnlasEkonomi/MonteCarloSim
AnlasEkonomi/MerkezBankasiRezerv
ozancanozdemir/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence