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100 Days of ML Coding
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Largest list of models for Core ML (for iOS 11+)
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of awesome Deep Learning tutorials, projects and communities.
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome machine learning interpretability resources.
:octocat: Machine Learning for Cyber Security
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A topic-centric list of HQ open datasets.
A curated list of awesome Python frameworks, libraries, software and resources
Quant/Algorithm trading resources with an emphasis on Machine Learning
A curated list of awesome self-supervised methods
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Mastering Probability and Statistics in Python
Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
:satellite: All You Need to Know About Deep Learning - A kick-starter
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A curated list of practical financial machine learning tools and applications.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.