1,240 skills found · Page 1 of 42
ruvnet / Ruflo🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
jindongwang / TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
automl / Auto SklearnAutomated Machine Learning with scikit-learn
aiming-lab / MetaClaw🦞 Just talk to your agent — it learns and EVOLVES 🧬.
Jittor / JittorJittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
facebookresearch / PearlA Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
learnables / Learn2learnA PyTorch Library for Meta-learning Research
MaximeVandegar / Papers In 100 Lines Of CodeImplementation of papers in 100 lines of code.
cbfinn / MamlCode for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
floodsung / Meta Learning PapersMeta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
dragen1860 / MAML PytorchElegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
tristandeleu / Pytorch MetaA collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Farama-Foundation / MetaworldCollections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
tata1661 / FSL MateFSL-Mate: A collection of resources for few-shot learning (FSL).
invictus717 / MetaTransformerMeta-Transformer for Unified Multimodal Learning
sudharsan13296 / Awesome Meta LearningA curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
sicara / Easy Few Shot LearningReady-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
oscarknagg / Few ShotRepository for few-shot learning machine learning projects
sudharsan13296 / Hands On Meta Learning With PythonLearning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
floodsung / LearningToCompare FSLPyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
