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h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
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h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
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…