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: 67
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)
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…
timeseriesAI
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
google-deepmind
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Xtremilicious
A curated list of project tutorials for project-based learning.
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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