Awesome

Awesome AI-ML-DL

Better NLP:

NLP Java: | NLP Clojure: | NLP Kotlin: | NLP Scala: | <br/> NLP using DL4J (cuda)

Tribuo: | DeepNetts: | Dataiku DSS: | Grakn: | Jupyter-Java: | <br/> MLPMNist using DL4J: | Zeppelin:

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!

• General
• Artificial Intelligence
• Automation
• Competitions
• Courses
• Ethics / altruistic motives
• 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
    • Deep learning
      • Reinforcement learning
    • ML on Code/Programm/Source Code
  • Tools & Libraries, Resources
  • How-to / Deploy / DevOps / Serverless
  • Misc
• Clojure
• Scala
• Julia, Python, GoLang & R
  • General
  • Generative Adversarial Network (GAN)
  • Genetic Algorithms
  • RNN
  • Natural Language Processing (NLP)
  • Computer Vision (CV)
  • Data Science
  • Machine learning
    • Deep learning
      • Reinforcement learning
    • ML on Code/Programm/Source Code
  • Programming in Python
  • AI in Golang
  • More...
• JavaScript
• Tests & Testing
• Guides
• Study notes
• Things to know...
• Mathematica
• Mathematics, Statistics, Probability & Probabilistic programming
• Data
• Visualisation
• Graphs
• Cloud, DevOps, Infra
• Time-series / anomaly detection
• Examples
• Notebooks
• Presentations
• Models
• Articles, papers, code, data, courses
• Cheatsheets
• Misc
• Contributing
• Sponsoring

Contributing

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.

Sponsoring

With GitHub's new project sponsor program you can now sponsor projects like this, see how.