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100-days-of-nlp

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

ai-product-index

A curated index to track AI-powered products.

ai_all_resources

A curated list of Best Artificial Intelligence Resources

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

amazing-feature-engineering

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.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-learning-survey-papers

In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.

awesome-ml-github-repos

A collection of the most important Github repos for ML, AI & Data science practitioners

awesome-ml-model-governance

This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.

awesome-mlops

A curated list of references for MLOps

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-rl

Reinforcement learning resources curated

awesome-rl-competitions

List of competitions related to Reinforcement Learning

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bad-data-guide

An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

best_ai_papers_2021

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.

best_ai_papers_2022

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.

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

course-nlp

A Code-First Introduction to NLP course

coursera_how-to-win-a-data-science-competition-learn-from-top-kagglers

Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"