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practical-machine-learning-cookbook

Code repository for Practical Machine Learning Cookbook, published by Packt

practical_rl

A course in reinforcement learning in the wild

practical_rl-coursera

My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pylimitbook

Python implementation of fast limit-order book.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorchviz

A small package to create visualizations of PyTorch execution graphs

qlib_msra_original

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

research_project_feb_2023

rgbd_semantic_segmentation_pytorch

PyTorch Implementation of some RGBD Semantic Segmentation models.

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-study-notes

sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

simonsc

simons sdk, a financial data library, for quantitative researcher

stks-simulator

stock_price_prediction

DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices

stocknet-dataset

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

stockprediction

An attempt to use financial news to predict stock market

stocksentimenttrading

strtsmrt

Stock price trend prediction with news sentiment analysis using deep learning

ta

Technical Analysis Library in Python

ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

tcn

Sequence modeling benchmarks and temporal convolutional networks

tensorboardx

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

trn-pytorch

Temporal Relation Networks

tushare

TuShare is a utility for crawling historical data of China stocks

variationalrecurrentneuralnetwork

Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

variationalrnn

A Recurrent Latent Variable Model for Sequential Data

video_23jan2019