17.5k updated 8mo ago
Lists and learning resources
12 libraries, 2 updated this year
Curated sub-lists and interactive tools for learning machine learning.
12 libraries
Awesome Core ML Modelslikedan/Awesome-CoreML-Models
A curated list of machine learning models in CoreML format.
SwiftGeneral7.1k updated 1y ago
Awesome Machine Learning with Rubyarbox/machine-learning-with-ruby
Curated list of ML related resources for Ruby.
RubyGeneral2.2k updated 1y ago
Awesome NLP with Rubyarbox/nlp-with-ruby
Curated link list for practical natural language processing in Ruby.
RubyNLP1.1k updated 3y ago
Awesome CoreMLSwiftBrain/awesome-CoreML-models
A curated list of pretrained CoreML models.
SwiftGeneral588 updated 6y ago
Awesome RAG ProductionYigtwxx/Awesome-RAG-Production
A curated collection of battle-tested tools, frameworks, and best practices for building, scaling, and monitoring production-grade Retrieval-Augmented Generation (RAG) systems. Covers frameworks, vector databases, retrieval & reranking, evaluation, observability, deployment, and security.
MLOps
283 updated 9d ago
Awesome Kerasmarkusschanta/awesome-keras
A curated list of awesome Keras projects, libraries and resources.
General
35 updated 4y ago
steppy-toolkitneptune-ml/steppy-toolkit Archived
> Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective.
PythonGeneral23 archived
Awesome Hugging Face ModelsJehoshuaM/awesome-huggingface-models Archived
Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
MLOps
23 archived
No GitHub repo
NN Visualnn-visual.com
Interactive visualizations explaining neural networks, backpropagation, attention mechanisms, and transformers.
No GitHub repo
QuiddityMLquiddityml.com
The Duolingo of machine learning: short lessons, 11 types of hands-on exercises on the skills the job needs, spaced repetition so you don't forget what you learned, and a clear beginner-to-advanced roadmap covering Python, PyTorch, math for ML, ML foundations, NLP, vision, and more.
No GitHub repo