micseb Goto Github PK
Name: Michel SEBAG
Type: User
Company: SOPRA STERIA
Twitter: MichelSebag
Location: France
Name: Michel SEBAG
Type: User
Company: SOPRA STERIA
Twitter: MichelSebag
Location: France
Python code for common Machine Learning Algorithms
Template for developing new or documenting existing predictive systems that are based on machine learning techniques. Currently in HTML.
Source Code for the book: Machine Learning in Action published by Manning
MachineLearningSamples-DistributedHyperParameterTuning
MachineLearningSamples-PredictiveMaitenance
MachineLearningSamples-QnAMatching
MachineLearningSamples-SentimentAnalysis
Materials from the London Machine Learning Study Group Meetups
Mastering Azure Machine Learning - Second Edition, published by Packt
Mastering Big Data Analytics with PySpark, Published by Packt
Mastering spaCy, published by Packt
MCW MLOps
Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
Build and manage real-life data science projects with ease.
Vector database for scalable similarity search and AI applications.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
This repository contains implementations for miscellaneous projects.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Source code accompanying O'Reilly book: Machine Learning Design Patterns
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
Facial Recognition in R
Machine Learning for Developers learning path assets
Notes on machine learning and artificial intelligence.
MLBox is a powerful Automated Machine Learning python library.
Data Science from Research to Production with Jupyter, Kubeflow & Nuclio workshop
An API for Distributed Machine Learning
A catalog of Jupyter Notebooks presenting new techniques to interpret black box machine learning models.
H2O.ai Machine Learning Interpretability Resources
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.