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A comprehensive repository containing 30+ notebooks on learning machine learning!
Learn how to responsibly develop, deploy and maintain production machine learning applications.
Simple projet maven
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Simple Python code implementations of Machine Learning problems and techniques
Machine Learning Training for Data Science and AI ... Bootcamp in progress
๐งฐ Open Innovation Labs Developer Experience - all the tooling for starting a residency
Model analysis tools for TensorFlow
Sample configuration to deploy a modern data platform.
Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
Projects and notebooks for the PAIND Udacity nanodegree
PRML algorithms implemented in Python
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
MONAI Tutorials
Python for Data Science and Machine Learning Bootcamp - Self-paced bootcamp (Udemy)
Python Data Science Handbook: full text in Jupyter Notebooks
Deep Learning (with PyTorch)
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
Collection of Enablement material for Red Hat Open Innovation Labs
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Scientific Computing with Python - Second Edition, published by Packt
Self-contained examples of Apache Spark streaming integrated with Apache Kafka.
Vagrant project to spin up a cluster of 4 nodes with Spark, YARN and Hadoop
about learning Spring Boot via examples. Spring Boot ๆ็จใๆๆฏๆ ็คบไพไปฃ็ ๏ผๅฟซ้็ฎๅไธๆๆ็จใ
Source codes from article: Spring Boot + Thymeleaf CRUD Example
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.