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: 92
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
rasbt
Code Repository for Machine Learning with PyTorch and Scikit-Learn
ethen8181
:earth_americas: machine learning tutorials (mainly in Python3)
JushBJJ
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
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.
stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
alirezadir
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
DataTalksClub
Learn ML engineering for free in 4 months! Register here 👇🏼
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
satellite-image-deep-learning
Techniques for deep learning with satellite & aerial imagery
shap
A game theoretic approach to explain the output of any machine learning model.
davisking
A toolkit for making real world machine learning and data analysis applications in C++
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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