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Collection of useful notebooks and snippets
A complete computer science study plan to become a software engineer.
Text-to-Image generation
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Code examples in pyTorch and Tensorflow for CS230
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.
Interactive data analytics
:bar_chart: Path to a free self-taught education in Data Science!
"All businesses could use a garden where Data Scientists plant seeds of possibility and water them with collaboration." ― Damian Mingle
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Free Resources For Data Science created by Shubham Kumar
Data Statistics with Full Stack Python, published by Packt
A collection of datasets ready to use with TensorFlow
Methods of data exploration and visualization using Python :snake:
Generating faces with deconvolution networks
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep learning network to identify 102 different types of flowers (developed for the PyTorch Scholarship Challenge)
An evolving guide to learning Deep Learning effectively.
Implementation of deep learning algorithms and papers. Python, Tensorflow, PyTorch.
:satellite: All You Need to Know About Deep Learning - A kick-starter
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A best practice for deep learning project template architecture.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
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.