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A curated collection of useful Python snippets that you can understand in 30 seconds or less.
Analytical Web Apps for Python. No JavaScript Required.
Cheat Sheets
Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.
A collection of my data visualizations, mostly in Python.
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"
Deep Learning with PyTorch, published by Packt
Deep Learning with PyTorch Quick Start Guide, published by Packt
Deep learning with PyTorch, published by Packt
Open source guides for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
My notebooks for the 3rd edition of course.fast.ai - coming in 2019
Hands-on ML with Financial Machine Learning Problem Sets
A collection of my generative artwork, mostly with Processing in Python mode
A tool to interface with and download Global Historical Climatology Network (GHCN) data into easily readable CSVs.
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Code snippets and applications explained in the book - HandsOnDeepLearningWithPytorch
Jeff Dean's latency numbers plotted over time
This repository contains my solutions and stand-alone Colab-friendly notebooks for the Intro to Deep Learning with PyTorch Course on Udacity
:money_with_wings: :date: Python package for financial historical data extraction from Investing.com
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Neural network visualization toolkit for keras
Everything I know. My knowledge wiki. My notes (mostly for fast.ai). Document everything. Brain dump.
Koalas: pandas API on Apache Spark
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
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.