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100 Days of ML Coding
Course materials and handouts for #100DaysOfCode in Python course
Practice problems that challenge me to think carefully about algorithms and data structures.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
A curated list of deep learning image classification papers and codes
💿 Free software that works great, and also happens to be open-source Python.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A very fast background subtraction implementation for OpenCV 3.1.0 and above
A web-based demonstration of blockchain concepts.
A complete computer science study plan to become a software engineer.
Cracking the Coding Interview, 5th Edition
Cracking the Coding Interview 6th Ed. Python Solutions
Python solutions to Cracking the Coding Interview (6th edition)
Convolutional Neural Networks
A curated list of data science blogs
Public repository for course materials for the Data Science at Scale Specialization at Coursera
Datasets used in Plotly examples and documentation
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Hands-on Deep Reinforcement Learning, published by Packt
Markerless pose estimation of user-defined features with deep learning for all animals, including humans
Deep Learning (Python, C/C++, Java, Scala)
Deep Learning Tutorial notes and code. See the wiki for more info.
Notebooks for learning deep learning
Drone is a Continuous Delivery platform built on Docker, written in Go
FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.
A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.
Deep Learning for humans
Classical equations and diagrams in machine learning
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.