Annotated Deep Learning Paper Implementations
labmlai
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adβ¦
OPENAGENTSKILL / DIRECTORY
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Results: 54
labmlai
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adβ¦
DataTalksClub
Learn ML engineering for free in 4 months! Register here ππΌ
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 andβ¦
tensorflow
An Open Source Machine Learning Framework for Everyone
huggingface
π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and trainiβ¦
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.
No external entries match this query.