Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/lorenmt/maxl
The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
auxiliary-learning meta-learning multi-task-learning pytorch
Last synced: 05 Jul 2024
https://github.com/openml/openml-python
Python module to interface with OpenML
hacktoberfest machine-learning meta-learning openml python
Last synced: 03 Jul 2024
https://github.com/guan-yuan/awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
architecture-search automated-feature-engineering automl awesome-list hyperparameter-optimization meta-learning model-acceleration model-compression nas neural-architecture-search pytorch quantization quantized-neural-network quantized-training tensorflow
Last synced: 02 Jul 2024
https://github.com/allenai/savn
Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)
ai2thor-environment meta-learning reinforcement-learning self-adaptive
Last synced: 01 Jul 2024
https://github.com/shaohua0116/MultiDigitMNIST
Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
dataset few-shot-learning image-classification meta-learning mnist mnist-classification
Last synced: 01 Jul 2024
https://github.com/CHENGY12/DMML
code for ICCV19 paper "Deep Meta Metric Learning"
baseline meta-learning metric-learning person-reidentification pytorch resnet-50 vehicle-reidentification
Last synced: 01 Jul 2024
https://github.com/yaoyao-liu/tiered-imagenet-tools
Tools for generating tieredImageNet dataset and processing batches
dataset few-shot few-shot-learning meta-learning tiered-imagenet
Last synced: 01 Jul 2024
https://github.com/csyanbin/TPN-pytorch
Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
few-shot-learning label-propagation meta-learning pytorch transductive-few-shot-learning
Last synced: 01 Jul 2024
https://github.com/kjunelee/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
convex-optimization cvpr2019 few-shot few-shot-learning few-shot-recognition image-classification meta-learning metalearning
Last synced: 01 Jul 2024
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code
Implementation of papers in 100 lines of code.
3d aes artificial-intelligence deep-learning diffusion-models educational gans generative-model implementation-of-research-paper inverse-rendering machine-learning meta-learning nerf neural-radiance-fields papers python pytorch reinforcement-learning research rl
Last synced: 29 Jun 2024
https://github.com/rootlu/L2P-GNN
Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
aaai2021 gnn meta-learning pre-train
Last synced: 28 Jun 2024
https://github.com/yaoyao-liu/mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches
dataset few-shot few-shot-learning imagenet meta-learning mini-imagenet miniimagenet one-shot-learning
Last synced: 26 Jun 2024
https://github.com/ealcobaca/pymfe
Python Meta-Feature Extractor package.
automl machine-learning meta-feature meta-features meta-learning metalearning
Last synced: 24 Jun 2024
https://github.com/Alro10/meta-learning-resources
A curated list of meta-learning resources: papers, coding, tutorials, etc.
deep-reinforcement-learning meta-learning reinforcement-learning
Last synced: 24 Jun 2024
https://github.com/rootlu/MetaLearning-Papers
Papers on meta-learning
graph-neural-networks meta-learning paper-list shot-classification shot-learning
Last synced: 24 Jun 2024
https://github.com/metarl/awesome-metarl
A curated list of awesome Meta Reinforcement Learning
awesome meta-learning meta-rl reinforcement-learning reinforcement-meta-learning
Last synced: 24 Jun 2024
https://github.com/Deepest-Project/meta-learning-study
Deepest Season 6 Meta-Learning study papers plus alpha
few-shot-learning maml meta-learning papers prototypical-networks shot-learning
Last synced: 24 Jun 2024
https://github.com/jarvisWang0903/Meta-Learning-PaperReading
Notes for daily reading papers
classification few-shot-learning meta-learning segmentation
Last synced: 24 Jun 2024
https://github.com/johnnyasd12/awesome-few-shot-meta-learning
awesome few shot / meta learning papers
conference-paper deep-learning few-shot-learning meta-learning metric-learning one-shot-learning
Last synced: 24 Jun 2024
https://github.com/ha-lins/MetaLearning4NLP-Papers
A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
dialogue-systems few-shot-learning low-resource meta-learning nlp papers-collection semantic-parsing
Last synced: 24 Jun 2024
https://github.com/oneHuster/Meta-Learning-Papers
A classified list of meta learning papers based on realm.
deep-learning machine-learning-algorithms machine-learning-theory meta-learning statistical
Last synced: 24 Jun 2024
https://github.com/BruceQFWang/Meta-learning-Paper-List
Record Meta-learning/AutoML paper recently
Last synced: 24 Jun 2024
https://github.com/msuzen/looper
A resource list for causality in statistics, data science and physics
bayesian-inference causal causal-discovery causal-impact causal-inference causal-machine-learning causal-models causal-networks causality causality-algorithms causality-analysis causation data-science machine-learning meta-learning physics statistical-inference statistical-mechanics statistical-physics statistics
Last synced: 20 Jun 2024
https://github.com/khanhnamle1994/MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
autoencoders boltzmann-machines collaborative-filtering cometml deep-learning django matrix-factorization meta-learning movielens-dataset multilayer-perceptron pytorch ranking recommender-systems tensorboard tensorflow wandb
Last synced: 16 Jun 2024
https://github.com/oscarknagg/few-shot
Repository for few-shot learning machine learning projects
few-shot-learning machine-learning maml meta-learning miniimagenet omniglot pytorch research
Last synced: 07 Jun 2024
https://github.com/bertinetto/cfnet
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
computer-vision correlation-filter cvpr2017 deep-learning machine-learning meta-learning object-tracking
Last synced: 27 May 2024
https://github.com/lorenmt/auto-lambda
The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
auxiliary-learning meta-learning multi-task-learning
Last synced: 22 May 2024
https://github.com/sileod/tasksource
Datasets collection and preprocessings framework for NLP extreme multitask learning
benchmark bigbench crossfit curated-datasets dataset-collection discriminative extreme-mtl extreme-multi-task-learning glue huggingface instruction-tuning meta-learning multi-task-learning multi-task-learning-scaling natural-language-inference nlp preprocessings scaling sentiment-analysis text-classification
Last synced: 22 May 2024
https://github.com/leopard-ai/betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
artificial-intelligence autodiff automatic-differentiation bilevel-optimization deep-learning hyperparameter-optimization implicit-differentiation machine-learning meta-learning multilevel-optimization neural-architecture-search pytorch reinforcement-learning
Last synced: 21 May 2024
https://github.com/ThyrixYang/awesome-artificial-intelligence-research
A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
artificial-intelligence automl awesome-list computer-vision deep-learning detection domain-adaptation generative-adversarial-network graph-neural-networks incremental-learning interpretability machine-learning meta-learning natural-language-processing paper recognition reinforcement-learning reinforcement-learning-resources self-supervised-learning transfer-learning
Last synced: 19 May 2024
https://github.com/yaoyao-liu/meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
few-shot-learning fewshot-cifar100 meta-learning mini-imagenet tiered-imagenet transfer-learning
Last synced: 18 May 2024
https://github.com/floodsung/LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
few-shot-learning meta-learning
Last synced: 18 May 2024
https://github.com/baiksung/MeTAL
Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
computer-vision deep-learning few-shot-learning iccv machine-learning maml meta-learning pytorch
Last synced: 18 May 2024
https://github.com/shiyuanh/TANE
Code Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"
computer-vision cvpr2022 few-shot few-shot-open-set-recognition meta-learning
Last synced: 18 May 2024
https://github.com/sungyubkim/GBML
A collection of Gradient-Based Meta-Learning Algorithms with pytorch
cavia few-shot-learning gradient-based-meta-learning implicit-maml maml meta-learning meta-learning-algorithms neumann-approximation pytorch reptile
Last synced: 18 May 2024
https://github.com/weimingwill/awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
communication-efficiency data-privacy decentralized-federated-learning differential-privacy-deep-learning distributed-optimization federated-learning federated-learning-framework federated-optimization machine-learning meta-learning non-iid privacy statistical-heterogeneity
Last synced: 16 May 2024
https://github.com/mbs0221/Multitask-Learning
Awesome Multitask Learning Resources
convex-optimization deep-learning domain-adaptation federated-learning few-shot-learning machine-learning meta-learning multi-task-learning sparse-learning transfer-learning
Last synced: 15 May 2024
https://github.com/floodsung/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
deep-learning few-shot-learning learning-to-learn meta-learning one-shot-learning
Last synced: 07 May 2024
https://github.com/google-research/meta-dataset
A dataset of datasets for learning to learn from few examples
benchmark few-shot-learning machine-learning maml meta-learning tensorflow
Last synced: 07 May 2024
https://github.com/tristandeleu/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
few-shot-learning meta-learning pytorch
Last synced: 07 May 2024
https://github.com/google/pyglove
Manipulating Python Programs
automl evolution machine-learning manipulation meta-learning meta-programming python symbolic-programming
Last synced: 05 May 2024
https://github.com/automl/auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Last synced: 05 May 2024
https://github.com/ugurkanates/awesome-real-world-rl
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
awesome awesome-list gans imitation-learning meta-learning reinforcement-learning robotics sim2real simulation
Last synced: 02 May 2024
https://github.com/jaehyun513/STUNT
Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight).
Last synced: 27 Apr 2024
https://github.com/seongmin-kye/meta-SR
Pytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)
meta-learning short-utterances speaker-recognition speaker-verification
Last synced: 25 Apr 2024
https://github.com/Han-Jia/UNICORN-MAML
PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
few-shot-learning iclr2022 maml meta-learning
Last synced: 23 Apr 2024
https://github.com/XiSHEN0220/SSR
(NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductive few-shot classification"
image-retrieval meta-learning re-ranking similarity-graph transductive-few-shot-learning
Last synced: 23 Apr 2024
https://github.com/sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
deep-learning few-shot-classifcation few-shot-learning few-shot-recognition image-classification machine-learning meta-learning pytorch
Last synced: 20 Apr 2024
https://github.com/uvm-neurobotics-lab/higherANML
ANML: A Neuromodulated Meta-Learning algorithm (using the `higher` framework)
continual-learning deep-learning meta-learning neuromodulation pytorch
Last synced: 20 Apr 2024
https://github.com/Duan-JM/awesome-papers-fewshot
Collection for Few-shot Learning
awesome-list few-shot-learning meta-learning shot-learning
Last synced: 20 Apr 2024
https://github.com/omerbsezer/Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
a3c actor-critic deep-reinforcement-learning dyna dynamic-programming imitation-learning machine-learning meta-learning policy-gradient pomdps q-learning reinforcement-learning sarsa td-learning tutorial
Last synced: 17 Apr 2024
https://github.com/Sha-Lab/FEAT
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
computer-vision cvpr2020 few-shot few-shot-learning machine-learning meta-learning
Last synced: 16 Apr 2024
https://github.com/fmu2/PyTorch-MAML
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
deep-learning few-shot-learning maml meta-learning
Last synced: 16 Apr 2024
https://github.com/nasaharvest/crop-maml
Learning to predict crop type from heterogeneous sparse labels using meta-learning
agriculture machine-learning meta-learning remote-sensing
Last synced: 16 Apr 2024
https://github.com/bupt-ai-cz/Meta-SelfLearning
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
benchmark computer-vision dataset domain-adaptation iccv2021 meta-learning multi-source-domain-adaptation ocr-recognition self-learning text-recognition
Last synced: 12 Apr 2024
https://github.com/WeiHongLee/Learning-to-impute
Learning to Impute: A General Framework for Semi-supervised Learning
classification landmark-detection meta-learning semi-supervised-learning
Last synced: 11 Apr 2024
https://github.com/hytseng0509/CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
domain-generalization few-shot-learning iclr2020 meta-learning
Last synced: 11 Apr 2024
https://github.com/jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
deep-learning domain-adaptation domain-adaption domain-generalization few-shot few-shot-learning generalization machine-learning meta-learning paper papers representation-learning self-supervised-learning style-transfer survey theory transfer-learning transferlearning tutorial-code unsupervised-learning
Last synced: 11 Apr 2024
https://github.com/kaize0409/awesome-few-shot-gnn
An index of algorithms for few-shot learning/meta-learning on graphs
few-shot-learning graph-neural-networks meta-learning
Last synced: 11 Apr 2024
https://github.com/Renovamen/metallic
A clean, lightweight and modularized PyTorch meta-learning library.
few-shot-learning learning-to-learn maml meta-learning pytorch reptile
Last synced: 08 Apr 2024
https://github.com/tata1661/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
deep-learning few-shot few-shot-learning few-shot-paper few-shot-papers low-shot meta-learning one-shot-learning paddlepaddle paper papers
Last synced: 05 Apr 2024
https://github.com/RL-VIG/LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
few-shot-learning fine-tuning image-classification meta-learning pytorch
Last synced: 05 Apr 2024
https://github.com/BayesWatch/deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
bayesian-methods classification deep-kernel-learning deep-learning few-shot-learning gaussian-processes gpytorch kernel kernel-methods kernels meta-learning one-shot-learning paper regression shot-learning uncertainty uncertainty-quantification
Last synced: 01 Apr 2024
https://automl.github.io/auto-sklearn/
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Last synced: 31 Mar 2024
https://github.com/learnables/learn2learn
A PyTorch Library for Meta-learning Research
few-shot finetuning learn2learn learning2learn maml meta-descent meta-learning meta-optimization meta-rl metalearning pytorch
Last synced: 31 Mar 2024
https://github.com/PKU-DAIR/mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
automl-algorithms automl-pipeline bayesian-optimization blackbox-optimization data-science deep-learning distributed-systems ensemble-learning hyper-parameter-optimization knobs-tuning machine-learning meta-learning neural-architecture-search python
Last synced: 31 Mar 2024
https://github.com/metaopt/torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
automatic-differentiation bilevel-optimization deep-learning differentiable-optimization differentiable-programming functional-programming implicit-differentiation meta-learning meta-reinforcement-learning meta-rl optimization optimizer pytorch
Last synced: 23 Mar 2024
https://github.com/pykale/pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
computer-vision data-science deep-learning domain-adaptation graph-analysis knowledge-aware-learning machine-learning medical-image-analysis meta-learning multimodal multimodal-learning python pytorch transfer-learning
Last synced: 17 Mar 2024
