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aiohttp

Asynchronous HTTP client/server framework for asyncio and Python

awesome-asyncio

A curated list of awesome Python asyncio frameworks, libraries, software and resources

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

chaos

Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video

cnn-architectures

consistent-hashing

A simple consistent hashing implementation in Python.

d2l-en

An interactive deep learning book with code, math, and discussions.

data-science--cheat-sheet

Cheat Sheets

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

facerec

Implements face recognition algorithms for MATLAB/GNU Octave and Python.

fast-slic

20x Real-time superpixel SLIC Implementation with CPU

gem

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gpustat

📊 A simple command-line utility for querying and monitoring GPU status

hr004.github.io

welcome to my personal website (under construction)

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

invariantriskminimization

PyTorch code to run synthetic experiments.

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

matjek

Material theme based on Materialize.css for jekyll sites

mcmc

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

medium_notebook

Repository containing notebooks of my posts on Medium

mie-1520

mie-1666

Course project for MIE1666

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

probabilistic-models

Collection of probabilistic models and inference algorithms

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

python

All Algorithms implemented in Python

python-cheatsheet

Comprehensive Python Cheatsheet