ShilhoraAkshayPatel

ShilhoraAkshayPatel's Stars

• mermaid-js/mermaid

  Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

  Language:JavaScript68.8k6372.8k6.1k

• jondot/awesome-react-native

  Awesome React Native components, news, tools, and learning material!

  Language:JavaScript34.3k1.1k724k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python29.5k6231788k

• sindresorhus/awesome-electron

  Useful resources for creating apps with Electron

  25.5k765432k

• electron-react-boilerplate/electron-react-boilerplate

  A Foundation for Scalable Cross-Platform Apps

  Language:TypeScript22.9k2791.9k3.8k

• trekhleb/homemade-machine-learning

  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

  Language:Jupyter Notebook22.8k940264k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.6k2513.5k3.6k

• rapidsai/cudf

  cuDF - GPU DataFrame Library

  Language:C++8k1496.2k869

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.4k1904541.5k

• dinerojs/dinero.js

  Create, calculate, and format money in JavaScript and TypeScript.

  Language:TypeScript6.2k30133188

• src-d/awesome-machine-learning-on-source-code

  Cool links & research papers related to Machine Learning applied to source code (MLonCode)

  6.2k35630842

• hokein/electron-sample-apps

  Sample apps for Electron

  Language:JavaScript3.9k13040940

• maziarraissi/Applied-Deep-Learning

  Applied Deep Learning Course

  3k948636

• aws/jsii

  jsii allows code in any language to naturally interact with JavaScript classes. It is the technology that enables the AWS Cloud Development Kit to deliver polyglot libraries from a single codebase!

  Language:TypeScript2.6k46936242

• tugstugi/dl-colab-notebooks

  Try out deep learning models online on Google Colab

  Language:Jupyter Notebook1.7k6451464

• cs109/2015

  Public material for CS109

  1.5k16772.6k

• keplr-io/hera

  Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser.

  Language:JavaScript488191547

• vsitzmann/phd-master-application-docs

  A collection of the application documents I used to apply to universities in the US.

  4248029

• jorisschellekens/borb-examples

  Language:Python405103657

• haltakov/suboptimal

  Seriously Unnecessary Baffling Obscure Perplexing Terms In MAchine Learning

  Language:HTML19214716

• dair-ai/awesome-research-proposals-guide

  A guide to improve your research proposals.

  1813021

• SirRob1997/Crowded-Valley---Results

  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"

  1755319

• dynamicwebpaige/kaggle-survey-spelunking

  1453010

• iarai/science4cast

  Details for the Science4Cast competition

  Language:Jupyter Notebook6111410

• soloist97/densecap-pytorch

  A simplified pytorch version of densecap

  Language:Jupyter Notebook39269

• soloist97/region-hierarchical-pytorch

  Implementation of a baseline method for image paragraph captioning

  Language:Python10151

• AdrienCourtois/pytorch-utils

  Implementation of few layers that yield good performances for Computer Vision related tasks.

  Language:Python9100

• dair-ai/deep_learning_notations

  ➕Contains useful deep learning notations for writing blogs, presentations, and papers.

  Language:Jupyter Notebook8303

• soloist97/Tree-Transformer

  Implementation of the paper Tree Transformer

  Language:Python1000

• soloist97/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python10