Annotated Deep Learning Paper Implementations
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
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Results: 75
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
rasbt
Code Repository for Machine Learning with PyTorch and Scikit-Learn
satellite-image-deep-learning
Techniques for deep learning with satellite & aerial imagery
iggredible
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
oppia
A free, online learning platform to make quality education accessible for all.
DataTalksClub
Learn ML engineering for free in 4 months! Register here 👇🏼
dotnet
ML.NET is an open source and cross-platform machine learning framework for .NET.
Xtremilicious
A curated list of project tutorials for project-based learning.
tensorflow
An Open Source Machine Learning Framework for Everyone
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
lutzroeder
Visualizer for neural network, deep learning and machine learning models
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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