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fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

finance_ml

Advances in Financial Machine Learning

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

finrl-library

A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.

forecasting

Time Series Forecasting Best Practices & Examples

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

git_exercise

used for git test

gluon-ts

Probabilistic time series modeling in Python

hctsa

Highly comparative time-series analysis

hierarchical-deep-reinforcement-learning

paper <<Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation>> python implementation

hierarchical-dqn

Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https://arxiv.org/pdf/1604.06057.pdf

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

inceptionv4_and_inception-resnetv2.pytorch

A PyTorch implementation of Inception-v4 and Inception-ResNet-v2.

informer2020

The GitHub repository for the paper accepted by AAAI 2021.

integrated-gradients

Attributing predictions made by the Inception network using the Integrated Gradients method

keras-tcn

Keras Temporal Convolutional Network.

kungfu

Kungfu Trader

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

mtgnn

n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

nlp-project

including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc

nlp_paper_study

研读顶会论文，复现论文相关代码

nnsubspace

Uncertainty Propagation in Deep Neural Network Using Active Subspace

octaveconv_pytorch

Pytorch implementation of Octave convolution

op_importance

Compute set of important operations for HCTSA code

opendata

开源的金融投资数据提取工具，专注在各类网站上爬取数据，并通过简单易用的API方式使用

orderbook

Matching Engine for Limit Order Book

poboquant

quant strategy backtesting from pobo financial

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

pyfolio

Portfolio and risk analytics in Python