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Name: Shubham Khandelwal
Type: User
Bio: Masters in Informatics (Deep Learning in NLP, Vision and Text)
Name: Shubham Khandelwal
Type: User
Bio: Masters in Informatics (Deep Learning in NLP, Vision and Text)
This is the curriculum for the "AI for Business" Course By Siraj Raval on Youtube
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! π)
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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.
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
An interactive book on deep learning. Much easy, so MXNet. Wow.
Another Completely Heuristic Operating System for the MoSIG
Code samples for my book "Neural Networks and Deep Learning"
dataset for neural language research
Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
Project System 2013-2014 MOSIG
The "Python Machine Learning (1st edition)" book code repository and info resource
πThe Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
PyTorch Tutorial for Deep Learning Researchers
A list of papers on General Adversarial (Neural) Networks
scikit-learn: machine learning in Python
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
This repo contains materials for use in a TensorFlow workshop.
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.