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ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

ai4sciencetutorial

A tutorial for students that surveys basic ML techniques in ipython notebook format.

akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

angusparsonson.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

ba_code

binanceeda

Exploratory data analysis with the Binance API

cnn-for-stock-market-prediction-pytorch

CNN for stock market prediction using raw data & candlestick graph.

cnn-lstm_limit_order_book

This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting originally proposed by Zhang et al. (https://arxiv.org/pdf/1808.03668.pdf). The current implementation was adopted in the paper written by Briola et al. (https://arxiv.org/pdf/2007.07319.pdf).

coinbasepro-python

The unofficial Python client for the Coinbase Pro API

computervisionregression

conditional-sig-wasserstein-gans

crsp_on_wrds_introduction

crypto-trading-rl-environment

A Crypto-trading reinforcement learning that explores the potential of using RL agents on a trading environment with multiple markets.

deep-hedging

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

doppelganger

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

eikondataapi

examples

Example deep learning projects that use wandb's features.

fin-ml

This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance

finance

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

financialvision

FinancialVision

finrl

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥

finta

Common financial technical indicators implemented in Pandas.

forecasting-with-time-series-imaging

time series forecasting with image

gans-awesome-applications

Curated list of awesome GAN applications and demo

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

gym-mtsim

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)