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: 41
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
DataTalksClub
Learn ML engineering for free in 4 months! Register here 👇🏼
dotnet
ML.NET is an open source and cross-platform machine learning framework for .NET.
DLR-RM
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
lukasmasuch
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
techiescamp
A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
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.
tensorflow
An Open Source Machine Learning Framework for Everyone
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
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…
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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