Dml cross entropyCode for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
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Batch Dropblock NetworkOfficial source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
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Maml TfTensorflow Implementation of MAML
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SPL-ADVisEPyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
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MilCode for "One-Shot Visual Imitation Learning via Meta-Learning"
Stars: ✭ 254 (+408%)
Powerful BenchmarkerA PyTorch library for benchmarking deep metric learning. It's powerful.
Stars: ✭ 272 (+444%)
FeatThe code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
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Negative Margin.few ShotPyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
Stars: ✭ 101 (+102%)
Revisiting deep metric learning pytorch(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
Stars: ✭ 172 (+244%)
Few Shot Text ClassificationFew-shot binary text classification with Induction Networks and Word2Vec weights initialization
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Person reid baseline pytorchPytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
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CrossdomainfewshotCross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
Stars: ✭ 204 (+308%)
HiCECode for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"
Stars: ✭ 56 (+12%)
disent🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
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PrompProMP: Proximal Meta-Policy Search
Stars: ✭ 181 (+262%)
PointglrGlobal-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
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Metalearning4nlp PapersA list of recent papers about Meta / few-shot learning methods applied in NLP areas.
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CatalystAccelerated deep learning R&D
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CanetThe code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"
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KeitaMy personal toolkit for PyTorch development.
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Open ReidOpen source person re-identification library in python
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Metar CnnMeta R-CNN : Towards General Solver for Instance-level Low-shot Learning
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ePillID-benchmarkePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)
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Boml Bilevel Optimization Library in Python for Multi-Task and Meta Learning
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Meta BlocksA modular toolbox for meta-learning research with a focus on speed and reproducibility.
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SPMLUniversal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
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MaxlThe implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
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Open UcnThe first fully convolutional metric learning for geometric/semantic image correspondences.
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R2d2[ICLR'19] Meta-learning with differentiable closed-form solvers
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scLearnscLearn:Learning for single cell assignment
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Neural Process FamilyCode for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
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G MetaGraph meta learning via local subgraphs (NeurIPS 2020)
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Prototypical NetworksCode for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
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L2p GnnCodes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
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MHCLNDeep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
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Learning To Learn By Pytorch"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
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tespImplementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
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GeDMLGeneralized Deep Metric Learning.
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Mt NetCode accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
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MfeMeta-Feature Extractor
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LooperA resource list for causality in statistics, data science and physics
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TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
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Learningtocompare fslPyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
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Few ShotRepository for few-shot learning machine learning projects
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Awesome Automl And Lightweight ModelsA 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.
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Auto SklearnAutomated Machine Learning with scikit-learn
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AmsoftmaxA simple yet effective loss function for face verification.
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TreeRepLearning Tree structures and Tree metrics
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Cfnet[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
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