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70 search results found

Learn2learn ⭐ 2,283

A PyTorch Library for Meta-learning Research

Pytorch Meta ⭐ 1,724

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Learningtocompare_fsl ⭐ 891

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

Libfewshot ⭐ 771

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

Easy Few Shot Learning ⭐ 737

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Awesome Automl And Lightweight Models ⭐ 647

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.

Pytorch Maml Rl ⭐ 645

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

Few Shot ⭐ 520

Repository for few-shot learning machine learning projects

Torchopt ⭐ 460

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

Papers In 100 Lines Of Code ⭐ 395

Implementation of papers in 100 lines of code.

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

Metarec ⭐ 282

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

Meta Detr ⭐ 219

[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

Matchingnetworks ⭐ 209

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

Meta Weight Net ⭐ 189

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Neural Process Family ⭐ 163

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

Meta Tts ⭐ 151

Official repository of https://doi.org/10.1109/TASLP.2022.3167258. More up-to-date code is in "refactor" branch.

Few_shot_meta_learning ⭐ 148

Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch

Deep Kernel Transfer ⭐ 142

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

My personal toolkit for PyTorch development.

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

Reptile Pytorch ⭐ 107

A PyTorch implementation of OpenAI's REPTILE algorithm

Pytorch Maml ⭐ 100

An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

Stylespeech ⭐ 100

PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

Few Shot Text Classification ⭐ 99

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Hypernetworks ⭐ 95

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

Meta Learning Lstm Pytorch ⭐ 92

pytorch implementation of Optimization as a Model for Few-shot Learning

code for ICCV19 paper "Deep Meta Metric Learning"

[ICLR'19] Meta-learning with differentiable closed-form solvers

Trans Inr ⭐ 66

Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022

Pytorch implementation of Meta-Learned Confidence for Few-shot Learning

Metastyle ⭐ 59

MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

AReLU: Attention-based-Rectified-Linear-Unit

Few Shot ⭐ 54

A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.

Metaaudio A Few Shot Audio Classification Benchmark ⭐ 48

A new comprehensive and diverse few-shot acoustic classification benchmark.

Memory Efficient Maml ⭐ 48

Memory efficient MAML using gradient checkpointing

Cross Accent Maml Asr ⭐ 42

Meta-learning model agnostic (MAML) implementation for cross-accented ASR

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

Metadelta ⭐ 35

1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.

Learning To Compare For Text ⭐ 34

Learning To Compare For Text , Few shot learning in text classification

Meta Weight Net_code Optimization ⭐ 34

A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.

Invariance Equivariance ⭐ 33

"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)

MetaModule provides extensions of PyTorch Module for meta learning

Awesome Few Shot Meta Learning ⭐ 27

awesome few shot / meta learning papers

Cs330 Stanford Deep Multi Task And Meta Learning ⭐ 27

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

Meta Reinforcement Learning ⭐ 26

Code snippets of Meta Reinforcement Learning algorithms

Meta Interpolation ⭐ 26

Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"

Meta Transfer Learning ⭐ 22

Implementation of meta-transfer-learning (ACL 2020)

Hierarchical Meta Reinforcement Learning ⭐ 19

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

Pinthememory ⭐ 19

Pin the Memory (CVPR 2022): Official Project Webpage

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

Meta Sac ⭐ 18

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Learning To Learn By Pytorch ⭐ 18

A simple re-implementation for "Learning to learn by gradient descent by gradient descent "by PyTorch

Pytorch Siamese Triplet ⭐ 18

One-Shot Learning with Triplet CNNs in Pytorch

Gdw Nips2021 ⭐ 17

This repository is the official implementation of Generalized Data Weighting via Class-level Gradient Manipulation (NeurIPS 2021)(http://arxiv.org/abs/2111.00056).

A collection of Gradient-Based Meta-Learning Algorithms with pytorch

Implementation of "Make One-Shot Video Object Segmentation Efficient Again” and the semi-supervised fine-tuning "e-OSVOS" approach (NeurIPS 2020).

Per Fedavg ⭐ 16

PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

Mt Gan Pytorch ⭐ 13

PyTorch Implementation of "Learning to Transfer: Unsupervised Domain Translation via Meta-Learning"

Hcn Prototypeloss Pytorch ⭐ 10

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

Metalstm ⭐ 10

Meta Learning for LSTM

Contextual Squeeze And Excitation ⭐ 10

Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)

Implementation of our paper entitiled FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow published in TIM.

Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.

Stc Maml Pytorch ⭐ 7

A PyTorch implementation of our INTERSPEECH2020 paper 'An inverstigation of few-shot learning in spoken term classification.'

Meta Hallucinator ⭐ 6

[MICCAI 2022] Official Implementation for "Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation"

Learning To Learn ⭐ 6

A collection of machine learning algorithm for few-shot learning & meta-learning in PyTorch.

Csgo_econ_ai ⭐ 6

CS:GO economy strategy AI, AIIDE 2020

Densenet_cifar10 ⭐ 6

Meta-learning learning rates with higher

Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)

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