meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
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TA3N[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
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LibtldaLibrary of transfer learners and domain-adaptive classifiers.
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Cross Domain nerCross-domain NER using cross-domain language modeling, code for ACL 2019 paper
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pykaleKnowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
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SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
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Ddc Transfer LearningA simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
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Clan( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
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transfertoolsPython toolbox for transfer learning.
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cmdCentral Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
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Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
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adaptAwesome Domain Adaptation Python Toolbox
Stars: ✭ 46 (-78.4%)
TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+3881.69%)
BA3UScode for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
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KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Stars: ✭ 63 (-70.42%)
Awesome Transfer LearningBest transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Stars: ✭ 1,349 (+533.33%)
Shotcode released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
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MGANExploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)
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Deep-Unsupervised-Domain-AdaptationPytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.
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DeeppicarDeep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
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cozmo-tensorflow🤖 Cozmo the Robot recognizes objects with TensorFlow
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ulm-basenetImplementation of ULMFit algorithm for text classification via transfer learning
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GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Stars: ✭ 227 (+6.57%)
visda2019-multisourceSource code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019
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nih-chest-xraysA collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
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Retrieval 2017 CamClass-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
Stars: ✭ 219 (+2.82%)
mrnetBuilding an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
Stars: ✭ 98 (-53.99%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
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DAOSLImplementation of Domain Adaption in One-Shot Learning
Stars: ✭ 14 (-93.43%)
Face.evolve.pytorch🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Stars: ✭ 2,719 (+1176.53%)
ImageatmImage classification for everyone.
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Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
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fiap-ml-visao-computacionalRepositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP
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temporal-sslVideo Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
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FreezedFreeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
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Bert Sklearna sklearn wrapper for Google's BERT model
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gplPowerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
Stars: ✭ 216 (+1.41%)
NeuralNetworksImplementation of a Neural Network that can detect whether a video is in-game or not
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XferTransfer Learning library for Deep Neural Networks.
Stars: ✭ 177 (-16.9%)
KashgariKashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Stars: ✭ 2,235 (+949.3%)
Pytorch RetrainingTransfer Learning Shootout for PyTorch's model zoo (torchvision)
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