Better NLP:
NLP Java: 
NLP using DL4J (cuda)
Tribuo: 
MLPMNist using DL4J: 
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
This repo is dedicated to engineers, developers, data scientists and all other professions that take interest in AI, ML, DL and related sciences. To make learning interesting and to create a place to easily find all the necessary material. Please contribute, watch, star, fork and share the repo with others in your community.
Watching the repo will keep you posted of all the changes (commits) that go into the repo.
Also, please SPONSOR us, find out how-to!
- Python for AI/ML/DL - Comprehensive Python guide for AI/ML/DL
- Programming in Python - Redirect to new Python guide
- Python Performance - Redirect to performance section
- Java
- Business / General / Semi-technical
- Classifier / decision trees
- Correlated Cross Occurrence
- Genetic Algorithms
- Java projects / related technologies
- Natural Language Processing (NLP)
- Neural Networks - Convolutional Neural Networks (CNN) - Long Short Term Memory (LSTM) - Recurrent Neural Network (RNN)
- Recommendation systems / Collaborative Filtering (CF)
- Data Science
- Machine Learning
- Tools & Libraries, Resources
- How-to / Deploy / DevOps / Serverless
- Misc
- Clojure
- Scala
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision (CV)
- Reinforcement Learning
- Tools & Technologies - Comprehensive guide to AI/ML/DL tools
- AI Coding Tools - Claude, MCP, Cursor resources
- AI Coding Tools References - MCP, Claude, Cursor resources
Contributions are very welcome, please share back with the wider community (and get credited for it)!
Please have a look at the CONTRIBUTING guidelines, also have a read about our licensing policy.
With GitHub's new project sponsor program you can now sponsor projects like this, see how.
Important Notice:
-
Content Accuracy: The information, resources, and links provided in this repository are curated from various sources and are subject to change. While we strive to maintain accuracy and keep content up-to-date, we cannot guarantee that all information is current, correct, or complete at all times.
-
Third-Party Content: This repository contains references, links, and citations to external sources, articles, tools, libraries, and resources created by third parties. We do not own or claim ownership of this external content. All credit belongs to the original authors and creators.
-
No Warranty: The content is provided "as is" without warranty of any kind, express or implied. We make no representations or warranties regarding the accuracy, reliability, or completeness of any information provided.
-
Verification Recommended: Users are strongly encouraged to verify information, test tools and code, and refer to official documentation before using any resources in production environments or critical applications.
-
Rapidly Evolving Field: AI, ML, and DL are rapidly evolving fields. Tools, best practices, and technologies mentioned here may become outdated. Always check for the latest versions and updates from official sources.
-
No Professional Advice: Nothing in this repository constitutes professional, legal, or technical advice. Users should consult with qualified professionals for specific guidance related to their use cases.
-
Community Contributions: This is a community-driven project. Content may be contributed by various individuals. If you find errors, outdated information, or have suggestions for improvements, please see our Contributing Guidelines.
Use at Your Own Risk: By using this repository, you acknowledge and accept these disclaimers and agree to use the information and resources at your own discretion and risk.