devashish-khatwani Goto Github PK
Type: User
Bio: Data Science Manager at TD Bank
Location: Toronto, ON
Type: User
Bio: Data Science Manager at TD Bank
Location: Toronto, ON
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Reinforcement learning resources curated
Recurrent Neural Network - A curated list of resources dedicated to RNN
A curated list of papers and code about very deep neural networks
This curated list contains python packages for time series analysis
Code Snippets
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
CS224D Assignments
Solutions to the programming assignments of Stanford's deep learning class offered at Stanford. 224D (2016)
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Course notes for CS224N Winter17
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Lectures given by me on deep learning
Deep Learning Resources and Tutorials using Keras and Lasagne
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
The notes and answers of Adrew Ng's coursera course: deeplearning.ai
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
MIT Deep Learning Book in PDF format
Deep Learning tutorials in jupyter notebooks.
Deep Learning for NLP resources
Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2019 paper with some other (Python) implemented prediction models.
:dolphin: A comprehensive tutorial on getting started with Docker!
Projects from the edX (BerkleyX) course: CS188.1x Artificial Intelligence
The fast.ai deep learning library, lessons, and tutorials
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.