Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with meta-learning
A curated list of projects in awesome lists tagged with meta-learning .
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: 28 Oct 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: 16 Dec 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: 17 Dec 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: 01 Dec 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: 26 Oct 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: 19 Dec 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: 17 Dec 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: 15 Nov 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: 20 Dec 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: 17 Dec 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: 18 Dec 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: 16 Dec 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: 26 Oct 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: 15 Nov 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: 15 Dec 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: 21 Dec 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: 27 Nov 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: 26 Oct 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: 21 Nov 2024
https://github.com/google/pyglove
Manipulating Python Programs
automl evolution machine-learning manipulation meta-learning meta-programming python symbolic-programming
Last synced: 09 Nov 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: 19 Dec 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: 26 Oct 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: 20 Dec 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: 26 Oct 2024
https://github.com/salesforce/deeptime
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
deep-learning forecasting implicit-neural-representation meta-learning time-series time-series-forecasting time-series-regression
Last synced: 15 Dec 2024
https://github.com/ZhangGongjie/Meta-DETR
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
computer-vision few-shot-object-detection meta-learning object-detection pytorch
Last synced: 15 Oct 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: 10 Nov 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: 26 Oct 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 Dec 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: 11 Nov 2024
https://github.com/tianheyu927/mil
Code for "One-Shot Visual Imitation Learning via Meta-Learning"
deep-learning imitation-learning meta-learning robotics
Last synced: 17 Dec 2024
https://github.com/openml/openml-python
OpenML's Python API for a World of Data and More 💫
benchmarking data datascience machine-learning meta-learning openml python tabular-data
Last synced: 17 Dec 2024
https://github.com/paddlepaddle/metagym
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
gym-environments lift maze meta-learning navigator quadrotor quadrupedal-robots reinforcement-learning
Last synced: 21 Dec 2024
https://github.com/vita-group/open-l2o
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
convex-optimization lasso learning-to-learn learning-to-optimize meta-learning neural-networks nonconvex-optimization
Last synced: 19 Dec 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: 12 Nov 2024
https://github.com/openai/epg
Code for the paper "Evolved Policy Gradients"
continuous-control evolutionary-strategy machine-learning meta-learning paper reinforcement-learning
Last synced: 07 Oct 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: 05 Dec 2024
https://github.com/shirleyzhu233/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: 15 Nov 2024
https://github.com/yanndubs/neural-process-family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
conditional-neural-process deep-learning machine-learning meta-learning neural-processes pytorch stochastic-processes uncertainty-estimation
Last synced: 18 Dec 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: 12 Nov 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: 26 Oct 2024
https://github.com/markdtw/meta-learning-lstm-pytorch
pytorch implementation of Optimization as a Model for Few-shot Learning
few-shot-learning learning-to-learn meta-learning pytorch
Last synced: 19 Dec 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: 26 Oct 2024
https://github.com/cleardusk/mfr
Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020
cvpr-2020 domain-adaptation domain-generalization face-recognition meta-learning
Last synced: 16 Dec 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: 17 Nov 2024
https://github.com/ealcobaca/pymfe
Python Meta-Feature Extractor package.
automl machine-learning meta-feature meta-features meta-learning metalearning
Last synced: 23 Nov 2024
https://github.com/alshedivat/meta-blocks
A modular toolbox for meta-learning research with a focus on speed and reproducibility.
api benchmark deep-learning learning-to-learn meta-learning python tensorflow toolbox
Last synced: 18 Dec 2024
https://github.com/beiyuouo/arxiv-daily
🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)
arxiv arxiv-api arxiv-daily arxiv-papers computer-vision federated-learning github-actions meta-learning robotics slam
Last synced: 21 Dec 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: 15 Nov 2024
https://github.com/tanyuqian/learning-data-manipulation
NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
bert data-augmentation data-manipulation meta-learning
Last synced: 15 Oct 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: 26 Oct 2024
https://github.com/josephkj/iod
(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning
continual-learning detectron2 incremental-learning meta-learning object-detection pami-2021 tpami
Last synced: 29 Oct 2024
https://github.com/dongminlee94/meta-learning-for-everyone
"모두를 위한 메타러닝" 책에 대한 코드 저장소
maml maml-rl mann matching-network meta-learning meta-rl meta-sl pearl prototypical-network rl2 snail
Last synced: 16 Dec 2024
https://github.com/microsoft/orbit-dataset
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
benchmark classification computer-vision dataset few-shot-learning machine-learning meta-learning microsoft object-recognition video
Last synced: 16 Dec 2024
https://github.com/yinboc/trans-inr
Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022
implicit-neural-representation machine-learning meta-learning pytorch transformer
Last synced: 08 Nov 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 Nov 2024
https://github.com/hereismari/tensorflow-maml
TensorFlow 2.0 implementation of MAML.
eager-execution maml meta-learning tensorflow tensorflow2
Last synced: 22 Oct 2024
https://github.com/dbaranchuk/memory-efficient-maml
Memory efficient MAML using gradient checkpointing
deep-learning gpu gradient-checkpointing maml meta-learning pytorch
Last synced: 07 Nov 2024
https://github.com/amazon-science/meta-q-learning
Code for the paper "Meta-Q-Learning"( ICLR 2020)
deep-learning meta-learning multi-task-learning reinforcement-learning
Last synced: 12 Nov 2024
https://github.com/myungsub/meta-interpolation
Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
computer-vision cvpr2020 deep-learning frame-interpolation meta-learning pytorch slow-motion video-frame-interpolation
Last synced: 03 Dec 2024
https://github.com/wesselb/neuralprocesses
A framework for composing Neural Processes in Python
machine-learning meta-learning neural-processes
Last synced: 13 Dec 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: 17 Nov 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: 26 Oct 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: 15 Nov 2024
https://github.com/tanyuqian/redco
NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
differential-privacy diffusion-models distributed-training fedavg federated-learning flan-t5-xxl gemma image-captioning jax large-language-models llama maml meta-learning mixed-precision mlsys model-parallelism ppo reinforcement-learning seq2seq stable-diffusion
Last synced: 15 Dec 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: 15 Nov 2024
https://github.com/floodsung/meta-critic-networks
Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning
Last synced: 01 Dec 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: 16 Nov 2024
https://github.com/tata1661/par-neurips21
Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".
drug-discovery few-shot-learning graph-structure-learning meta-learning molecular-property molecular-representation-learning one-shot-learning
Last synced: 08 Nov 2024
https://github.com/d-li14/san
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
classification eccv2020 efficient-neural-networks imagenet knowledge-distillation meta-learning mobilenetv2 pytorch resnet scale-invariance
Last synced: 07 Nov 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: 15 Nov 2024
https://github.com/rishub-tamirisa/tamper-resistance
Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
llm meta-learning open-weight safeguards tamper-resistance
Last synced: 23 Nov 2024
https://github.com/josephkj/merlin
(NeurIPS 2020) Meta-Consolidation for Continual Learning
continual-learning incremental-learning meta-learning neurips neurips-2020
Last synced: 29 Oct 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: 15 Nov 2024
https://github.com/soumik12345/nearest-celebrity-face
Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.
deep-learning deep-neural-networks deeplearning face face-recognition facenet facenet-model inception inception-resnet-v2 inceptionv2 keras keras-neural-networks keras-tensorflow machine-learning machinelearning meta-learning one-shot-learning python python3 tensorflow
Last synced: 02 Nov 2024
https://github.com/ha-lins/geml-mdg
Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]
aaai2021 allennlp dialogue-generation dialogue-systems medical-diagnosis meta-learning
Last synced: 05 Dec 2024
https://github.com/forhaoliu/taming-maml
Taming MAML: efficient unbiased meta-reinforcement learning
Last synced: 10 Oct 2024
https://github.com/spamegg1/abstract-thinking
Abstract thinking patterns and problem decomposition / solving strategies
abstraction axiomatic-thinking decomposition meta-learning modalities modeling paradigms patterns problem-solving recursion reification relations semantics structures syntax temporal thinking
Last synced: 20 Dec 2024
https://github.com/vita-group/l2o-training-techniques
[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
curriculum-learning imitation-learning learning-to-learn learning-to-optimize meta-learning self-improving training-tricks
Last synced: 16 Nov 2024
https://github.com/gokulp01/meta-qlearning-humanoid
Meta QLearning experiments to optimize robot walking patterns
gym gym-environment humanoid humanoid-robot humanoid-walking meta-learning meta-qlearning mujoco mujoco-environments pybullet reinforcement-learning robotics
Last synced: 17 Nov 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: 15 Nov 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: 15 Nov 2024
https://github.com/amazon-science/replay-based-recurrent-rl
Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
meta-learning multi-task-learning reinforcement-learning
Last synced: 12 Nov 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: 15 Nov 2024
https://github.com/mpatacchiola/contextual-squeeze-and-excitation
Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)
deep-learning few-shot-learning image-classification meta-learning paper pytorch squeeze-and-excitation squeeze-and-excitation-networks transfer-learning
Last synced: 14 Nov 2024
https://github.com/josephkj/pytorch-maml-and-reptile
MAML and Reptile sine wave regression example in PyTorch
maml meta-learning meta-learning-algorithms pytorch pytorch-implementation reptile
Last synced: 29 Oct 2024
https://github.com/mhw32/prototransformer-public
PyTorch implementation for "ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback" (https://arxiv.org/abs/2107.14035).
education meta-learning prototypical-networks transformers
Last synced: 10 Dec 2024
https://github.com/mhw32/meta-inference-public
A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)
generative-models machine-learning meta-inference meta-learning variational-autoencoder
Last synced: 10 Dec 2024
https://github.com/idsia/automated-cl
Official repository for the paper "Automating Continual Learning"
continual-learning cuda fast-weight-programmers fast-weights few-shot-learning linear-transformers meta-learning pytorch self-referential-learning self-referential-weight-matrix transformers
Last synced: 11 Nov 2024
https://github.com/tristandeleu/metax
A collection of extensions for meta-learning in JAX
Last synced: 23 Oct 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: 10 Nov 2024
https://github.com/ryushinn/meta-sampling
The official repo for "Learning to Learn and Sample BRDFs - Eurographics 2023"
brdf brdf-acquisition meta-learning
Last synced: 02 Dec 2024
https://github.com/arnoutdevos/regressionnet
Reference source code for "Regression Networks for Meta-Learning Few-Shot Classification".
few-shot-learning meta-learning
Last synced: 11 Nov 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: 15 Nov 2024
https://github.com/bighuang624/cs330-notes
:memo:Notes in Chinese for CS330 at Stanford: Deep Multi-Task and Meta Learning (Fall 2019)
chinese cs330 meta-learning notes
Last synced: 09 Nov 2024
https://github.com/qasimwani/off-policy-evaluation
Approaching OPE as a regression problem using meta-learning.
meta-learning policy-evaluation reinforcement-learning
Last synced: 07 Nov 2024
https://github.com/mingxuanm/physics_learning_rl
Reinforcement learning agent that actively learns physical properties (motion mechanisms) in a 2D simulated domain.
meta-learning motion-prediction reinforcement-learning transfer-learning
Last synced: 08 Nov 2024
https://github.com/memgonzales/meta-learning-clustering
Presented at the 2022 IEEE Region 10 Conference (TENCON 2022). Our main contribution is twofold: (1) the construction of a meta-learning model for recommending a distance metric for k-means clustering and (2) a fine-grained analysis of the importance and effects of the meta-features on the model's output
clustering distance-metric k-means k-means-clustering machine-learning meta-features meta-learning random-forest
Last synced: 19 Nov 2024
https://github.com/humansignal/smartfew
SmartFew is your swiss knife for semi-supervised structuring of unlabeled data using Few Shot Learning.
few-shot few-shot-learning few-shot-recognition machine-learning meta-learning one-shot-learning one-shot-segmentation zero-shot zero-shot-learing zero-shot-learning
Last synced: 14 Nov 2024
