memorywave

memorywave's Stars

• dair-ai/GNNs-Recipe

  🟠 A study guide to learn about Graph Neural Networks (GNNs)

  1.1k112

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.6k1.1k

• tinyzqh/awesome-reinforcement-learning

  Learning Resources And Links Of Reinforcement Learning （updating）

  Language:Python22276

• ilqvya/random

  Random for modern C++ with convenient API

  Language:C++90083

• WillKoehrsen/feature-selector

  Feature selector is a tool for dimensionality reduction of machine learning datasets

  Language:Jupyter Notebook2.2k774

• cpmech/gosl

  Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

  Language:Go1.8k149

• Xuanwo/beancollect

  beancollect helps your collect beans so that you can count them.

  Language:Go255

• joyjy/accounting

  Google Spreadsheet 记账脚本

  Language:JavaScript104

• qchenevier/awesome-full-stack-data-science

  Awesome list of resources of full stack skills & technologies for data scientists

  1

• mwilliamson/stickytape

  Convert Python packages into a single script

  Language:Python21927

• Yelp/MOE

  A global, black box optimization engine for real world metric optimization.

  Language:C++1.3k139

• tartley/python-regex-cheatsheet

  Python 2.7 Regular Expression cheatsheet, as a restructured text document and Makefile to convert it to PDF

  Language:Makefile514155

• jeroenjanssens/data-science-at-the-command-line

  Data Science at the Command Line

  Language:HTML3.7k765

• Halfish/machine-learning-reference

  常见的机器学习参考资料，包括书籍、公开课等

  430122

• apachecn/Interview

  Interview = 简历指南 + 算法题 + 八股文 + 源码分析

  Language:Jupyter Notebook8.6k2.2k

• karlseguin/the-little-go-book

  Language:TeX2.1k265

• louishenrifranc/Tensorflow-Cheatsheet

  My personal reference for Tensorflow

  15348

• Cloud-Yeti/aws-labs

  step by step guide for aws mini labs. Lab videos available on Youtube

  Language:HCL239411

• sourcegraph/sourcegraph

  Code AI platform with Code Search & Cody

  Language:Go10k1.2k

• gruntwork-io/terratest

  Terratest is a Go library that makes it easier to write automated tests for your infrastructure code.

  Language:Go7.4k1.3k

• feiskyer/kubernetes-handbook

  Kubernetes Handbook （Kubernetes指南） https://kubernetes.feisky.xyz

  Language:Makefile5.3k1.4k

• amitkaps/full-stack-data-science

  Full Stack Data Science in Python

  Language:Jupyter Notebook257131

• python-poetry/poetry

  Python packaging and dependency management made easy

  Language:Python30.6k2.2k

• google/eng-practices

  Google's Engineering Practices documentation

  19.9k1.9k

• ozbillwang/terraform-best-practices

  Terraform Best Practices for AWS users

  Language:HCL1.7k351

• mariostoev/finviz

  Unofficial API for finviz.com

  Language:Python1k276

• micro/go-micro

  A Go microservices framework

  Language:Go21.7k2.3k

• gocolly/colly

  Elegant Scraper and Crawler Framework for Golang

  Language:Go22.7k1.7k

• radix-ai/awesome-machine-learning-engineer

  🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!

  24346

• donnemartin/dev-setup

  macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.

  Language:Python6.1k1.1k