shreyanshtomar

shreyanshtomar's Stars

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.5k4.8k

• shreyanshtomar/Rocket.Chat

  The ultimate Free Open Source Solution for team communications.

  1

• prasunka/CHIP8-Emulator

  An emulator for CHIP8 applications written in C++ and providing graphics with the SDL2 library.

  Language:C++3

• NARKOZ/hacker-scripts

  Based on a true story

  Language:JavaScript47.5k6.7k

• ShahjalalShohag/Competitive-Programming-A-Complete-Guideline

  816188

• poteto/hiring-without-whiteboards

  ⭐️ Companies that don't have a broken hiring process

  Language:JavaScript44.6k3.5k

• Sohan022/My-Chat-App

  It is a web application where users can chat into public/private rooms.

  Language:JavaScript41

• ritchieng/the-incredible-pytorch

  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

  11.4k2.1k

• DopplerHQ/awesome-interview-questions

  :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

  70.5k8.8k

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript117k14.6k

• donnemartin/system-design-primer

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

  Language:Python270k45.6k

• dsoellinger/Udacity-Machine-Learning-Nanodegree

  All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.

  Language:Jupyter Notebook213138

• udacity/machine-learning

  Content for Udacity's Machine Learning curriculum

  Language:Jupyter Notebook3.9k6.3k

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10k6.7k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook21.6k8.3k

• dsgiitr/d2l-pytorch

  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

  Language:Jupyter Notebook4.2k1.2k

• zackchase/mxnet-the-straight-dope

  An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

  Language:Jupyter Notebook2.6k726

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript292k38.6k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16k6.9k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.3k22.1k

• ujjwalkarn/Machine-Learning-Tutorials

  machine learning and deep learning tutorials, articles and other resources

  15.4k3.8k

• dalmia/Deep-Learning-Book-Chapter-Summaries

  Attempting to make the Deep Learning Book easier to understand.

  Language:Jupyter Notebook1.1k314

• iamadamdev/bypass-paywalls-chrome

  Bypass Paywalls web browser extension for Chrome and Firefox.

  Language:JavaScript48.4k3.5k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python184k44.3k