0wols

0wols's Stars

• yanshengjia/ml-road

  Machine Learning Resources, Practice and Research

  Language:Python3.4k1.3k

• nextstrain/ncov

  Nextstrain build for novel coronavirus SARS-CoV-2

  Language:Python1.4k403

• ExpDev07/coronavirus-tracker-api

  🦠 A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the 🔥 FastAPI framework. Supports multiple sources!

  Language:Python1.6k320

• kelseyhightower/kubernetes-the-hard-way

  Bootstrap Kubernetes the hard way. No scripts.

  41.2k14.1k

• jontambi/minikube

  Run minikube on Centos/7 VM

  Language:Shell11

• barbagroup/CFDPython

  A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

  Language:Jupyter Notebook3.4k1.2k

• M-68/corona_prophet

  We are looking to predict, visualize and act to contain the 2019 n-Corona Virus, through the power of data science.

  Language:Jupyter Notebook216

• cmderdev/cmder

  Lovely console emulator package for Windows

  Language:C++25.9k2k

• wbond/sublime_terminal

  Launch terminals from the current file or the root project folder

  Language:Python601118

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.2k2.2k

• Farama-Foundation/ViZDoom

  Reinforcement Learning environments based on the 1993 game Doom :godmode:

  Language:C++1.7k403

• mitchelloharawild/vitae

  R Markdown Résumés and CVs

  Language:R1.2k241

• dsgiitr/graph_nets

  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

  Language:Jupyter Notebook1.1k225

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python225k24.9k

• nvbn/thefuck

  Magnificent app which corrects your previous console command.

  Language:Python85.4k3.4k

• keras-team/keras

  Deep Learning for humans

  Language:Python62.1k19.5k

• yfeng95/GAN

  Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

  Language:Python2.9k793

• hackthemarket/gym-trading

  Environment for reinforcement-learning algorithmic trading models

  Language:Jupyter Notebook704214

• eriklindernoren/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.

  Language:Python24k4.6k

• juliasilge/supervised-ML-case-studies-course

  Supervised machine learning case studies in R! 💫 A free interactive tidymodels course

  Language:CSS22276

• NVIDIA/MinkowskiEngine

  Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

  Language:Python2.5k369

• MarwanDebbiche/post-tuto-deployment

  Build and deploy a machine learning app from scratch 🚀

  Language:Python391103

• cambridge-mlg/convcnp

  Implementation of the Convolutional Conditional Neural Process

  Language:Jupyter Notebook12119

• b3by/atom-clock

  Place a clock or calendar in your status bar

  Language:JavaScript9690

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.8k4.9k

• dmlc/dgl

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

  Language:Python13.6k3k

• dmbee/seglearn

  Python module for machine learning time series:

  Language:Python57163

• Flask-Framework-Cookbook/Chapter-13-docker

  Containerisation with Docker

  Language:Python1

• Flask-Framework-Cookbook/Chapter-2

  Templating with Jinja2

  Language:Python54

• t9md/atom-vim-mode-plus

  vim-mode improved

  Language:CoffeeScript1.4k112