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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
1,171 commits to master branch, last one 20 days ago
Reading list for research topics in multimodal machine learning
Created
2019-05-27
435 commits to master branch, last one 5 months ago
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
This repository has been archived
(exclude archived)
Created
2020-03-10
40 commits to master branch, last one about a year ago
A curated list of network embedding techniques.
Created
2016-11-27
159 commits to master branch, last one 3 years ago
EVA Series: Visual Representation Fantasies from BAAI
Created
2022-11-14
276 commits to master branch, last one 3 months ago
Self-Supervised Speech Pre-training and Representation Learning Toolkit
Created
2019-07-15
3,184 commits to main branch, last one 19 days ago
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Created
2020-02-17
144 commits to master branch, last one 3 years ago
Datasets, tools, and benchmarks for representation learning of code.
This repository has been archived
(exclude archived)
Created
2019-02-28
286 commits to master branch, last one 2 years ago
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Created
2019-01-09
1,631 commits to develop branch, last one 8 months ago
The implementation of DeBERTa
Created
2020-06-08
55 commits to master branch, last one about a year ago
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
Created
2024-06-17
59 commits to main branch, last one 21 days ago
A collection of research on knowledge graphs
Created
2019-01-02
73 commits to master branch, last one 2 years ago
Code for ALBEF: a new vision-language pre-training method
Created
2021-07-13
39 commits to main branch, last one 2 years ago
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
Created
2019-05-24
45 commits to main branch, last one 3 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
GraphVite: A General and High-performance Graph Embedding System
Created
2019-07-16
16 commits to master branch, last one 5 months ago
A comprehensive list of awesome contrastive self-supervised learning papers.
Created
2020-06-10
77 commits to master branch, last one 2 months ago
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Created
2021-06-02
123 commits to master branch, last one about a year ago
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
Created
2023-02-21
293 commits to main branch, last one about a month 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
864 commits to dev branch, last one 5 days ago
A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
Created
2023-05-18
136 commits to main branch, last one about a month ago
LibCity: An Open Library for Urban Spatial-temporal Data Mining
eta
libcity
toolkit
traffic
od-matrix
map-matching
deep-learning
spatio-temporal
on-demand-service
traffic-prediction
traffic-forecasting
trajectory-prediction
pytorch-implementation
time-series-prediction
representation-learning
traffic-flow-prediction
traffic-speed-prediction
estimated-time-of-arrival
spatio-temporal-prediction
traffic-accident-prediction
Created
2020-12-12
324 commits to master branch, last one 7 days ago
Unified Training of Universal Time Series Forecasting Transformers
Created
2024-02-07
93 commits to main branch, last one 9 days ago
Metric learning and retrieval pipelines, models and zoo.
Created
2022-06-04
422 commits to main branch, last one about a month ago
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Created
2021-11-24
410 commits to main branch, last one 27 days ago
Experiments for understanding disentanglement in VAE latent representations
Created
2019-01-30
270 commits to master branch, last one about a year ago
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Created
2019-08-12
57 commits to master branch, last one 3 years ago
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Created
2020-03-10
116 commits to master branch, last one about a year ago
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Created
2018-05-04
21 commits to master branch, last one 4 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 4 years ago