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probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

public-pddi-analysis

migrates from swat-4-med-safety/SW-DDI-catalog/drug-drug-interactions

pubmed_parser

:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset

py4fi2nd

Jupyter Notebooks and codes for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

pybroker

Algorithmic Trading in Python with Machine Learning

pygeo_heatmap

Companion code to a blog post detailing how to make a geographic heatmap in Python with folium and leaflet.

pysustain

Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.

python

All Algorithms implemented in Python

python-100-days

Python - 100天从新手到大师

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

python-deep-learning

Code repository for Python Deep Learning, published by Packt

python-deep-learning-second-edition

Python Deep Learning Second Edition, Published by Packt

python-guide

Python best practices guidebook, written for Humans.

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-openai-transformer-lm

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

pytorch-question-answering

Collection of important Question-Answering papers implemented in PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch.docs

Offline documentation built from official PyTorch release

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

qstock

qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型等； 回测模块为大家提供向量化（基于pandas）和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号，获取更多应用信息。

qstrader

QSTrader

quantsplaybook

量化研究-券商金工研报复现

quickumls

System for Medical Concept Extraction and Linking

rbook

Source files for "Learning Statistics with R"

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

refresh2018-predicting-trends-from-arxiv

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.