adaptAwesome Domain Adaptation Python Toolbox
Stars: ✭ 46 (-98.63%)
TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+152.64%)
Awesome Transfer LearningBest transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Stars: ✭ 1,349 (-59.82%)
Clan( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Stars: ✭ 248 (-92.61%)
sinkhorn-label-allocationSinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.
Stars: ✭ 49 (-98.54%)
FSL-MateFSL-Mate: A collection of resources for few-shot learning (FSL).
Stars: ✭ 1,346 (-59.9%)
ganslateSimple and extensible GAN image-to-image translation framework. Supports natural and medical images.
Stars: ✭ 17 (-99.49%)
cmdCentral Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
Stars: ✭ 53 (-98.42%)
CADAAttending to Discriminative Certainty for Domain Adaptation
Stars: ✭ 17 (-99.49%)
Ddc Transfer LearningA simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
Stars: ✭ 83 (-97.53%)
LibtldaLibrary of transfer learners and domain-adaptive classifiers.
Stars: ✭ 71 (-97.89%)
pykaleKnowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
Stars: ✭ 381 (-88.65%)
AdaptsegnetLearning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Stars: ✭ 654 (-80.52%)
paper annotationsA place to keep track of all the annotated papers.
Stars: ✭ 96 (-97.14%)
Awesome-Weak-Shot-LearningA curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
Stars: ✭ 142 (-95.77%)
BA3UScode for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
Stars: ✭ 31 (-99.08%)
SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
Stars: ✭ 46 (-98.63%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (-89.1%)
GvbCode of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)
Stars: ✭ 52 (-98.45%)
Cross Domain nerCross-domain NER using cross-domain language modeling, code for ACL 2019 paper
Stars: ✭ 67 (-98%)
domain-adaptation-caplsUnsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Stars: ✭ 43 (-98.72%)
Tf DannDomain-Adversarial Neural Network in Tensorflow
Stars: ✭ 556 (-83.44%)
transfertoolsPython toolbox for transfer learning.
Stars: ✭ 22 (-99.34%)
TA3N[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
Stars: ✭ 45 (-98.66%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-97.11%)
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.
Stars: ✭ 26 (-99.23%)
Transferable-E2E-ABSATransferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)
Stars: ✭ 62 (-98.15%)
CDFSL-ATA[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Stars: ✭ 21 (-99.37%)
Meta-Fine-Tuning[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
Stars: ✭ 29 (-99.14%)
finetunerFinetuning any DNN for better embedding on neural search tasks
Stars: ✭ 442 (-86.83%)
KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Stars: ✭ 63 (-98.12%)
Sparsely Grouped GanCode for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
Stars: ✭ 68 (-97.97%)
Shotcode released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
Stars: ✭ 134 (-96.01%)
Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
Stars: ✭ 202 (-93.98%)
Learning Via TranslationImage-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf). CVPR2018
Stars: ✭ 202 (-93.98%)
Research Paper NotesNotes and Summaries on ML-related Research Papers (with optional implementations)
Stars: ✭ 218 (-93.51%)
ImageatmImage classification for everyone.
Stars: ✭ 201 (-94.01%)
MunitMultimodal Unsupervised Image-to-Image Translation
Stars: ✭ 2,404 (-28.39%)
Machine Learning ResourcesA curated list of awesome machine learning frameworks, libraries, courses, books and many more.
Stars: ✭ 226 (-93.27%)
Ta3n[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)
Stars: ✭ 217 (-93.54%)
Drl4recsysCourses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
Stars: ✭ 196 (-94.16%)
FreezedFreeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
Stars: ✭ 195 (-94.19%)
Bnmcode of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)
Stars: ✭ 192 (-94.28%)
PaperPaper is a fast NoSQL-like storage for Java/Kotlin objects on Android with automatic schema migration support.
Stars: ✭ 2,263 (-32.59%)