JesseDu

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

MTSS-Multivariate-Time-Series-Software

A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS).

dtw

DTW (Dynamic Time Warping) python module

UnsupervisedScalableRepresentationLearningTimeSeries

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

UCR_Time_Series_Classification_Deep_Learning_Baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

MLSTM-FCN

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

DA-RNN

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

product-nets

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

make-ipinyou-data

This project is to formalise the iPinYou RTB data into a standard format for further researches.

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

Seq2Seq-PyTorch

Sequence to Sequence Models with PyTorch

cat2vec

unsupervised-videos

Unsupervised Learning of Video Representations using LSTMs

DeepInterests

深度有趣

Time-series---deep-learning---state-of-the-art

Scientific time series and deep learning state of the art

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

long-summarization

Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"

PKUSUMSUM

First publish for PKUSUMSUM

practical-graph-analytics-w-apache-giraph

Source code for 'Practical Graph Analytics with Apache Giraph' by Roman Shaposhnik, Claudio Martella, and Dionysios Logothetis

scigen

An automatic paper generator

hadoop-wiki-pageranking

Calculate the PageRank of the pages in the wikipedia dump.

full-speed-python

Full Speed Python: a book for self-learners

keras-neural-tensor-layer

Neural Tensor Network Implementation as a keras layer

RepresentationLearning

知识表示相关学习算法

OpenKE

An Open-Source Package for Knowledge Embedding (KE)

ML-in-Action-Code-and-Note

:chart_with_upwards_trend:Machine Learning code in Python3.x. （机器学习实战 py3代码整理）Some notes about the practices:（for reference only）

Neural_Tensor_Network_For_KB_Completion

Neural Tensor Network for Knowledge Base Completion in Java

tensorflow-socher-ntn

Reimplementation of "Reasoning With Neural Tensor Networks for Knowledge Base Completion" (Socher, Chen 2013) in Google's TensorFlow framework. MIT 6.806 Final Project. NOTE: Not maintained.