Aniruddha Tapas

Leetcode_company_frequency. Collection of leetcode company tag problems. Periodically updating.

data-scientist-roadmap. Toturials coming with the "data science roadmap" picture.

Made-With-ML. Learn how to develop, deploy and iterate on production-grade ML applications.

CartoonGan-tensorflow. Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

leetcode-python. Leetcode Python Solution and Explanation. Also a Guide to Prepare for Software Engineer Interview.

AnimeGAN. A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.

new-grads-2020. A collection of new grad roles for 2020

data-science-interviews. Data science interview questions and answers

120-Data-Science-Interview-Questions. Answers to 120 commonly asked data science interview questions.

abidawson.github.io. HTML

tech-interview-handbook. Curated coding interview preparation materials for busy software engineers

every-programmer-should-know. A collection of (mostly) technical things every software developer should know about

NLP-progress. Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

knowledge-repo. A next-generation curated knowledge sharing platform for data scientists and other technical professions.

ds-career-resources. Compilation of resources for aspiring data scientists

mml-book.github.io. Companion webpage to the book "Mathematics For Machine Learning"

stanford-cs-229-machine-learning. VIP cheatsheets for Stanford's CS 229 Machine Learning

CS-Interview-Knowledge-Map. Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.

awesome-project-ideas. Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

geojs. High-performance visualization and interactive data exploration of scientific and geospatial location aware datasets

python3_with_pleasure. A short guide on features of Python 3 with examples

open-source-handbook. ⭐️ Open source projects for all skill levels

tensorflow_cookbook. Code for Tensorflow Machine Learning Cookbook

Screenshot-to-code. A neural network that transforms a design mock-up into a static website.

reinforcement-learning-an-introduction. Python Implementation of Reinforcement Learning: An Introduction

beginner_nlp. A curated list of beginner resources in Natural Language Processing

easy-application. Over 400 software engineering companies that are easy to apply to

AndroidInterview-Q-A. The top Internet companies android interview questions and answers.

profile-summary-for-github. Tool for visualizing GitHub profiles

gym-extensions. This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)

gym-gridworld. Simple grid-world environment compatible with OpenAI-gym

attrs. Python Classes Without Boilerplate

Leetcode. Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.

DRL_based_SelfDrivingCarControl. Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Deep-Reinforcement-Learning-Survey. My Exploration on Deep Reinforcement Learning Survey

Tensorflow-Programs-and-Tutorials. Implementations of CNNs, RNNs, GANs, etc

MuGo. Replicating AlphaGo's architecture in a readable manner

edX-CS188.1x-Artificial-Intelligence. Projects from the edX (BerkleyX) course: CS188.1x Artificial Intelligence

awesome-competitive-programming. :gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

best-resume-ever. :necktie: :briefcase: Build fast :rocket: and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.

tensor2tensor. Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

AlgoWiki. Repository which contains links and resources on different topics of Computer Science.

nlp_tasks. Natural Language Processing Tasks and References

LSTMVis. Visualization Toolbox for Long Short Term Memory networks (LSTMs)

7_Research_Directions_Deep_Learning. This is the code for "The Future of Deep Learning Research" by Siraj Raval on Youtube

youtube-8m. Starter code for working with the YouTube-8M dataset.

nmt. TensorFlow Neural Machine Translation Tutorial

fairseq. Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

interactive-coding-challenges. 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

awesome-algorithms. A curated list of awesome places to learn and/or practice algorithms.

Data-Analysis-and-Machine-Learning-Projects. Repository of teaching materials, code, and data for my data analysis and machine learning projects.

cs5010f17. HTML

small-projects. A collection of random small projects I've worked on over the years.

bostonml. Jupyter Notebook

interviews. Everything you need to know to get the job.

Awesome-CoreML-Models. Largest list of models for Core ML (for iOS 11+)

machine-learning-mindmap. A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

EffectiveTensorflow. TensorFlow tutorials and best practices.

PlacesToPostYourStartup. Compiled list of links from "Ask HN: Where can I post my startup to get beta users?"

TensorFlow-Summarization. Python

TensorFlow-World. :earth_americas: Simple and ready-to-use tutorials for TensorFlow

Best-websites-a-programmer-should-visit. :link: Some useful websites for programmers.

Ella. Self-improving decision organism

hackathon-starter. A boilerplate for Node.js web applications

ParlAI. A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

project-based-learning. Curated list of project-based tutorials

awesome-rl. Reinforcement learning resources curated

reinforcement-learning. Minimal and Clean Reinforcement Learning Examples

tensorflow-seq2seq-tutorials. Dynamic seq2seq in TensorFlow, step by step

seq2seq. A general-purpose encoder-decoder framework for Tensorflow

stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

awesome-computer-vision. A curated list of awesome computer vision resources

awesome-deep-vision. A curated list of deep learning resources for computer vision

Projects. :page_with_curl: A list of practical projects that anyone can solve in any programming language.

awesome-deep-learning-papers. The most cited deep learning papers

awesome-nlp. :book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-public-datasets. A topic-centric list of HQ open datasets.

computer-science. 🎓 Path to a free self-taught education in Computer Science!

TensorFlow-Examples. TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

os01. Bootstrap yourself to write an OS from scratch. A book for self-learner.

basic_reinforcement_learning. An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

awesome-deep-learning. A curated list of awesome Deep Learning tutorials, projects and communities.

reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

TensorFlow-Tutorials. TensorFlow Tutorials with YouTube Videos

search-engine-optimization. 🔍 A helpful checklist/collection of Search Engine Optimization (SEO) tips and techniques.

lectures. Oxford Deep NLP 2017 course

TopDeepLearning. A list of popular github projects related to deep learning

tflearn. Deep learning library featuring a higher-level API for TensorFlow.

Deep-Learning-Papers-Reading-Roadmap. Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning-papernotes. Summaries and notes on Deep Learning research papers

awesome_tensorflow_implementations.

path_planning_demo_live. This is the code for the "How to Make a Path Planning Algorithm Easily " live session by @Sirajology on Youtube

universe-starter-agent. A starter agent that can solve a number of universe environments.

universe. Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

interview. Everything you need to prepare for your technical interview

machine-learning-for-software-engineers. A complete daily plan for studying to become a machine learning engineer.

awesome. 😎 Awesome lists about all kinds of interesting topics

awesome-tensorflow. TensorFlow - A curated list of dedicated resources http://tensorflow.org

awesome-machine-learning. A curated list of awesome Machine Learning frameworks, libraries and software.

data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

awesome-cheatsheet. :beers: awesome cheatsheet

coding-interview-university. A complete computer science study plan to become a software engineer.

self-driving-car. The Udacity open source self-driving car project

udacity-nanodegrees. :mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula