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
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Results: 69
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
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.
rasbt
Code Repository for Machine Learning with PyTorch and Scikit-Learn
satellite-image-deep-learning
Techniques for deep learning with satellite & aerial imagery
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
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…
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
lutzroeder
Visualizer for neural network, deep learning and machine learning models
shap
A game theoretic approach to explain the output of any machine learning model.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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