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500 AI Machine learning Deep learning Computer vision NLP Projects with code
A curated index to track AI-powered products.
A curated list of Best Artificial Intelligence Resources
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
This is Andrew NG Coursera Handwritten Notes.
๐งโ๐ซ 50! Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
A collection of the most important Github repos for ML, AI & Data science practitioners
This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.
A curated list of references for MLOps
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
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.
Reinforcement learning resources curated
List of competitions related to Reinforcement Learning
TensorFlow - A curated list of dedicated resources http://tensorflow.org
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, andย code
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
Learning Convolutional Neural Networks with Interactive Visualization.
A Code-First Introduction to NLP course
Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
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.