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: 82
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
DataTalksClub
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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
Unity-Technologies
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agen…
DLR-RM
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
vwxyzjn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
VowpalWabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search,…
google-deepmind
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
pytorch
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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…
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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