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: 111
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 👇🏼
ZuzooVn
A complete daily plan for studying to become a machine learning engineer.
mrdbourke
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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
jason718
A curated list of awesome self-supervised methods
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Visualize-ML
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
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…