DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Read More...

My OSCP notes
Read More...

Implementation of EfficientNet model. Keras and TensorFlow Keras.
Read More...

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development
Read More...

Fast data visualization and GUI tools for scientific / engineering applications
Read More...

Ensure uniqueness of your Sidekiq jobs
Read More...

Java源码分析 【源码笔记】专注于Java后端系列框架的源码分析，每周持续推出Java后端系列框架的源码分析文章。
Read More...

Template files for the nuclei scanner
Read More...

🤔 What happens when I type kubectl run?
Read More...

parse argument options
Read More...

JavaGuide面试突击版
Read More...

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Read More...

Automated download of Pluralsight courses
Read More...

Third party firmware for Asus routers (newer codebase)
Read More...

Advanced data structure and algorithm for system design
Read More...

 
Read More...

Exposure indices derived from PlaceIQ movement data by Couture, Dingel, Green, Handbury, and Williams
Read More...

A declarative Svelte routing library with SSR support
Read More...

Chrome extension to play Netflix in 1080p and 5.1
Read More...

☄️React Material Admin is a React template built with Material-UI
Read More...

Pluggable components to add a kanban board to your application
Read More...

Data backend providing computed data for the graphs displayed at https://covidactnow.org
Read More...

PaddleSlim is an open-source library for deep model compression and architecture search.
Read More...

[CVPR 2020] Learning to See Through Obstructions
Read More...

Connect suppliers, distributors and consumers to trade local produce
Read More...