GitHub topics: self-supervision
sayakpaul/probing-vits
Probing the representations of Vision Transformers.
Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 324 - Forks: 20
nianticlabs/monodepth2
[ICCV 2019] Monocular depth estimation from a single image
Language: Jupyter Notebook - Size: 10 MB - Last synced at: 12 days ago - Pushed at: 8 months ago - Stars: 4,295 - Forks: 978
liuyang-ict/awesome-visual-transformers
[TNNLS] A Comprehensive Survey of Awesome Visual Transformer Literatures.
Size: 570 KB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 255 - Forks: 25
gkordo/s2vs
Authors official PyTorch implementation of the "Self-Supervised Video Similarity Learning" [CVPRW 2023]
Language: Python - Size: 17.2 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 41 - Forks: 2
jhaotingc/PCL-I2G
Unofficial Implementation: Learning Self-Consistency for Deepfake Detection
Language: Python - Size: 1.26 MB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 58 - Forks: 6
nianticlabs/depth-hints
[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
Language: Jupyter Notebook - Size: 62.5 MB - Last synced at: 12 days ago - Pushed at: almost 4 years ago - Stars: 187 - Forks: 20
FinnBehrendt/Unsupervised-Anomaly-Detection-in-Brain-MRI
A Collection of Data sets and Approaches to UAD in Brain MRI.
Size: 26.4 KB - Last synced at: 7 days ago - Pushed at: 12 months ago - Stars: 11 - Forks: 3
pxl-th/Monodepth2.jl
Self-supervised monocular depth estimation
Language: Julia - Size: 47.3 MB - Last synced at: 16 days ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 2
HazyResearch/bootleg
Self-Supervision for Named Entity Disambiguation at the Tail
Language: Python - Size: 7.59 MB - Last synced at: 15 days ago - Pushed at: almost 3 years ago - Stars: 215 - Forks: 27
AMfeta99/NLP_LLM
This repository is dedicated to small projects and some theoretical material that I used to get into NLP and LLM in a practical and efficient way.
Language: Jupyter Notebook - Size: 77.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
snap-research/non-contrastive-link-prediction
[ICLR 2023] Link Prediction with Non-Contrastive Learning
Language: Python - Size: 77.1 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 1
siyuanliii/masa
Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
Language: Python - Size: 59.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1,000 - Forks: 66
Shen-Lab/GraphCL_Automated
[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
Language: Python - Size: 327 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 108 - Forks: 11
smallsmallstrong/Master-Thesis---Federated-Transfer-Learning-with-Multimodal-Data
This is the code for my master thesis.
Language: Jupyter Notebook - Size: 213 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 1
ShuweiShao/AF-SfMLearner
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
Language: Python - Size: 4.68 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 88 - Forks: 15
Shen-Lab/SS-GCNs
[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
Language: Python - Size: 12.2 MB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 105 - Forks: 27
ifnspaml/SGDepth
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Language: Python - Size: 26.4 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 188 - Forks: 26
IndexFziQ/Self-Supervised-Learning-for-NLP
A research on self-supervised learning with the interest of applying it into NLP field.
Size: 18 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
neerajwagh/eeg-self-supervision
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
Language: Python - Size: 53.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 1
WeizmannVision/SelfSuperReconst
Self-Supervised RGBD Reconstruction from Brain Activity
Language: Python - Size: 117 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 1
neuroethology/TREBA
Learning trajectory representations using self-supervision and programmatic supervision.
Language: Python - Size: 12.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 63 - Forks: 6
ToshiHayashi/OCITN
One-class classification approach using error of image transformation into one image
Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
oneonlee/Building-Transformer-Based-NLP-Applications
NVIDIA DLI "트랜스포머 기반 자연어 처리 애플리케이션 구축" 워크숍 레포지토리
Language: Jupyter Notebook - Size: 24.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
mano3-1/Flipr_Hackathon
This is the solution for stock-market prediction problem given in flipr 5.0.
Language: Jupyter Notebook - Size: 4.36 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
zudi-lin/RIDE
Robust Iterative Data Estimation (RIDE)
Language: Python - Size: 2.41 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1
andrea-cavallo-98/Advanced-Machine-Learning
Domain adaptation in real-time semantic segmentation. Project for the course Advanced Machine Learning.
Language: Python - Size: 30.8 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1
ly-zhu/ly-zhu.github.io
Projects webpage
Language: HTML - Size: 41.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
rsmbyk/objects-that-sound
Implementation of `Objects that Sound` and `Look, Listen, and Learn` papers by Relja Arandjelovi´c and Andrew Zisserman
Language: Python - Size: 3.57 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
watercow/SomeCode
不是想写的代码，但是让我求生的代码
Language: Python - Size: 120 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
