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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
paper
papers
survey
theory
few-shot
deep-learning
meta-learning
tutorial-code
generalization
style-transfer
domain-adaption
machine-learning
transferlearning
domain-adaptation
few-shot-learning
transfer-learning
domain-generalization
unsupervised-learning
representation-learning
self-supervised-learning
Created
2017-04-30
1,152 commits to master branch, last one about a month ago
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation a...
Created
2017-11-14
4,748 commits to develop branch, last one 7 days ago
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Created
2019-10-23
1,215 commits to master branch, last one 2 months ago
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Created
2020-03-10
40 commits to master branch, last one about a year ago
OpenMMLab Pre-training Toolbox and Benchmark
Created
2020-07-09
973 commits to main branch, last one 5 months ago
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Created
2020-06-12
654 commits to main branch, last one about a year ago
A python library for self-supervised learning on images.
Created
2020-10-13
1,192 commits to master branch, last one 10 hours ago
Self-Supervised Speech Pre-training and Representation Learning Toolkit
Created
2019-07-15
3,172 commits to main branch, last one 8 days ago
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Created
2017-04-25
31 commits to master branch, last one 2 years ago
A Semantic Controllable Self-Supervised Learning Framework to learn general human representations from massive unlabeled human images, which can benefit downstream human-centric tasks to the maximum e...
Created
2022-12-07
23 commits to main branch, last one 11 months ago
A library for graph deep learning research
Created
2020-10-30
1,083 commits to dig-stable branch, last one 4 months ago
An all-in-one toolkit for computer vision
Created
2022-04-02
302 commits to master branch, last one 2 months ago
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Created
2020-06-16
69 commits to master branch, last one about a month ago
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Created
2020-05-27
259 commits to master branch, last one 4 months ago
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...
Created
2023-01-05
90 commits to main branch, last one 5 months ago
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Created
2021-03-06
378 commits to main branch, last one 5 months ago
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Created
2020-03-16
45 commits to master branch, last one about a year ago
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
Created
2019-05-24
44 commits to main branch, last one 3 months ago
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Created
2021-10-12
105 commits to main branch, last one 10 months ago
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Created
2022-03-23
64 commits to main branch, last one about a year ago
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
Created
2022-04-27
19 commits to main branch, last one about a year ago
A comprehensive list of awesome contrastive self-supervised learning papers.
Created
2020-06-10
72 commits to master branch, last one about a month ago
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
automl
pytorch
datumaro
openvino
quantization
deep-learning
computer-vision
machine-learning
object-detection
anomaly-detection
transfer-learning
action-recognition
image-segmentation
image-classification
incremental-learning
self-supervised-learning
semi-supervised-learning
neural-networks-compression
hyper-parameter-optimization
Created
2018-10-26
570 commits to develop branch, last one 16 hours ago
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Created
2021-11-18
10 commits to main branch, last one about a year ago
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Created
2020-11-21
813 commits to dev branch, last one 29 days ago
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Created
2018-05-04
21 commits to master branch, last one 3 years ago
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Created
2019-11-22
25 commits to master branch, last one 3 years ago
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Created
2020-09-04
22 commits to master branch, last one 3 years ago
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Created
2021-11-24
400 commits to main branch, last one 3 days ago
[MICCAI 2019] [MEDIA 2020] Models Genesis
Created
2019-07-24
271 commits to master branch, last one 4 months ago