weaponsjtu

deeplearning-models

A collection of various deep learning architectures, models, and tips

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

DeepHoldem

DeepStack-Leduc

Example implementation of the DeepStack algorithm for no-limit Leduc poker

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

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

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

DeepLearningInFinance

AE_ts

Auto encoder for time series

StudyBooks

我的学习资料，包括书籍、网址等

QuantLib

The QuantLib C++ library

awesome-quant

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

hikyuu

Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架

LSHash

A fast Python implementation of locality sensitive hashing.

DeepHash-Papers

Must-read papers on deep learning to hash (DeepHash)

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Ad-papers

Papers on Computational Advertising

MachineLearning

Machine learning resources

TFusion

CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns

reinforce_py

Reinforcement Learning in Python

AlignedReID-Re-Production-Pytorch

Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

facenet

Face recognition using Tensorflow

Pedestrian_Alignment

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

webtau

WebTau (web test automation) is a testing API, command line tool and a framework to write unit, integration and end-to-end tests. Test across REST-API, WebSocket, GraphQL, Browser, Database, CLI and Business Logic with a consistent set of matchers and concepts. REPL mode speeds-up tests development. Rich reporting cuts down investigation time.

DeepLight

drawio

draw.io is a JavaScript, client-side editor for general diagramming.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

DQN

Reinforcement Learning for finance