jrios6

jrios6's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python285k6.6k31647.5k

• google/guava

  Google core libraries for Java

  Language:Java50.4k2.4k3.6k10.9k

• isocpp/CppCoreGuidelines

  The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

  Language:CSS43.1k2k1.2k5.4k

• IanLunn/Hover

  A collection of CSS3 powered hover effects to be applied to links, buttons, logos, SVG, featured images and so on. Easily apply to your own elements, modify or just use for inspiration. Available in CSS, Sass, and LESS.

  Language:SCSS29.3k8481075.8k

• tobiasahlin/SpinKit

  A collection of loading indicators animated with CSS

  Language:CSS19.4k449581.8k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.2k599183k

• shoelace-style/shoelace

  A collection of professionally designed, every day UI components built on Web standards. SHOELACE IS BECOMING WEB AWESOME 👇👇👇

  Language:TypeScript13.1k951.1k852

• ConnorAtherton/loaders.css

  Delightful, performance-focused pure css loading animations.

  Language:CSS10.2k287561.2k

• cstack/db_tutorial

  Writing a sqlite clone from scratch in C

  Language:C9.7k21656980

• apex/up

  Deploy infinitely scalable serverless apps, apis, and sites in seconds to AWS.

  Language:Go8.8k114732378

• j-delaney/easy-application

  Over 400 software engineering companies that are easy to apply to

  7.8k316441.1k

• google-deepmind/graph_nets

  Build Graph Nets in Tensorflow

  Language:Python5.4k225130785

• google/closure-library

  Google's common JavaScript library

  Language:JavaScript4.9k2096631k

• pytorch/ignite

  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

  Language:Python4.6k601.4k622

• mortennobel/cpp-cheatsheet

  Modern C++ Cheatsheet

  Language:C++3.3k6114712

• heykeetae/Self-Attention-GAN

  Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

  Language:Python2.5k3465476

• ryfeus/lambda-packs

  Precompiled packages for AWS Lambda

  Language:Python1.1k4648238

• google/jsaction

  JsAction is a small event delegation library that decouples event binding from the code that can handle the event.

  Language:JavaScript1.1k461266

• asystat/Final-Android-Resizer

  A simple yet powerful resizer for Android Image resources

  Language:Java8684627310

• cmackenzie1/new-grads-2020

  A collection of new grad roles for 2020

  8121359218

• rmuif/web

  Supercharged version of Create React App with all the bells and whistles.

  Language:JavaScript72315255148

• TeamHG-Memex/tensorboard_logger

  Log TensorBoard events without touching TensorFlow

  Language:Python631292450

• kimberli/interviews

  CS interview study sheet

  614331136

• planetjekyll/awesome-jekyll-themes

  A collection of awesome (gem-packaged) Jekyll themes - Add your theme!

  52315240

• clvrai/SSGAN-Tensorflow

  A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

  Language:Python5142025169

• shagunsodhani/Graph-Reading-Group

  Weekly reading group on Graphs at Mila

  28057024

• kimiyoung/ssl_bad_gan

  Good Semi-Supervised Learning That Requires a Bad GAN

  Language:Python181101646

• leowyy/GraphTSNE

  PyTorch Implementation of GraphTSNE, ICLR’19

  Language:Jupyter Notebook1345323

• xbresson/spatial_graph_convnets

  PyTorch implementation of residual gated graph ConvNets, ICLR’18

  Language:Jupyter Notebook1205134

• maciejzieba/binGAN

  Language:Python376010