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- model-deployment
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47,133 repositories indexed
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Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
📋 A list of open LLMs available for commercial use.
A curated list of modern Generative Artificial Intelligence projects and services
Pocket Flow: Codebase to Tutorial
TranslatedGraduate student mathematical modeling, undergraduate mathematical modeling, outstanding papers from mathematical modeling competitions, mathematical modeling algorithms, LaTeX paper templates, algorithm mind maps, reference books, Matlab software tutorials, PPT
A collection of resources and papers on Diffusion Models
A command-line productivity tool powered by AI large language models like GPT-5, will help you accomplish your tasks faster and more efficiently.
The official GitHub page for the survey paper "A Survey of Large Language Models".
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A curated list of 120+ LLM libraries category wise.
How to systematically secure anything: a repository about security engineering
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
🗡️ Pokedex demonstrates modern Android development with Hilt, Material Motion, Coroutines, Flow, Jetpack (Room, ViewModel) based on MVVM architecture.
Largest list of models for Core ML (for iOS 11+)
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
A collection of important graph embedding, classification and representation learning papers with implementations.
A model set of guidelines for RESTful APIs and Events, created by Zalando
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Algorithms for explaining machine learning models
A collection of research papers on decision, classification and regression trees with implementations.
🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 840+ cases traced to original posts, 490+ cross-model retest runs, 27 copy-ready templates, 79 installable AI-video Skills. Synced daily from goodcase.ai. EN / 中文 / 日本語.