self-supervision

There are 0 repository under self-supervision topic.

monodepth2
nianticlabs / monodepth2
[ICCV 2019] Monocular depth estimation from a single image
computer-vision deep-learning depth-estimation monodepth neural-network pytorch self-supervision
Language:Jupyter Notebook 4001
sayakpaul / probing-vits
Probing the representations of Vision Transformers.
attention explaining-vits image-recognition keras pre-training self-supervision tensorflow transformers vits
Language:Jupyter Notebook 303
liuyang-ict / awesome-visual-transformers
[TNNLS] A Comprehensive Survey of Awesome Visual Transformer Literatures.
classification detection multi-modal multi-sensor-fusion point-cloud segmentation self-supervision transformer
235
HazyResearch / bootleg
Self-Supervision for Named Entity Disambiguation at the Tail
ai machine-learning named-entity-disambiguation self-supervision
Language:Python 211
ifnspaml / SGDepth
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
depth-estimation depth-prediction multitask-learning sgdepth self-supervision monocular-depth-estimation depth-from-single-images
Language:Python 197
depth-hints
nianticlabs / depth-hints
[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
depth-estimation neural-network stereo-matching deep-learning self-supervision pytorch monodepth computer-vision
Language:Jupyter Notebook 183
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
graph-neural-networks self-supervised-learning self-supervision automated-machine-learning
Language:Python 108
Shen-Lab / SS-GCNs
[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
graph-convolutional-networks graph-neural-networks self-supervised-learning self-supervision
Language:Python 106
ShuweiShao / AF-SfMLearner
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
computer-vision deep-learning depth-estimation pose-estimation brightness-calibration monodepth endoscopy self-supervision pytorch
Language:Python 88
neuroethology / TREBA
Learning trajectory representations using self-supervision and programmatic supervision.
behavior classification representation-learning self-supervision trajectory-representation
Language:Python 74
jtchen0528 / PCL-I2G
Unofficial Implementation: Learning Self-Consistency for Deepfake Detection
deepfake-detection consistency self-supervision pytorch deepfakes faceforensics
Language:Python 55
gkordo / s2vs
Authors official PyTorch implementation of the "Self-Supervised Video Similarity Learning" [CVPRW 2023]
duplicate-videos fivr ndvr self-supervised-learning self-supervision video-detection video-retrieval video-search video-similarity video-similarity-learning video-similarity-search
Language:Python 30
snap-research / non-contrastive-link-prediction
[ICLR 2023] Link Prediction with Non-Contrastive Learning
deep-learning efficient-training graph-neural-networks link-prediction self-supervised-learning self-supervision non-contrastive-learning gnn scalability
Language:Python 25
WeizmannVision / SelfSuperReconst
Self-Supervised RGBD Reconstruction from Brain Activity
image-reconstruction depth-estimation self-supervision mind-reading fmri brain-decoding
Language:Python 22
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!
eeg self-supervised-learning self-supervision multi-task-learning representation-learning deep-learning biosignals convolutional-neural-networks domain-driven-design electroencephalogram electrophysiological-data machine-learning ml4h neural-network neurips-2021 neuroscience transfer-learning unsupervised-learning eeg-classification eeg-signals
Language:Python 18
pxl-th / Monodepth2.jl
Self-supervised monocular depth estimation
depth-estimation monodepth2 machine-learning computer-vision neural-networks julia-language self-supervised monodepth flux deep-learning self-supervision
Language:Julia 13
smallsmallstrong / Master-Thesis---Federated-Transfer-Learning-with-Multimodal-Data
This is the code for my master thesis.
federated-learning self-supervision federated-transfer-learning python pytorch
Language:Jupyter Notebook 13
rsmbyk / objects-that-sound
Implementation of `Objects that Sound` and `Look, Listen, and Learn` papers by Relja Arandjelovi´c and Andrew Zisserman
deep-learning audio-visual-correspondence cross-modal self-supervision convolutional-neural-networks
Language:Python 3
ToshiHayashi / OCITN
One-class classification approach using error of image transformation into one image
one-class-classification one-class-learning anomaly-detection anomaly-detection-algorithm lenna image-transformation deep-learning information-sciences self-supervision pretext-task
Language:Jupyter Notebook 3
ly-zhu / ly-zhu.github.io
Projects webpage
audio-visual-learning sound-source-localization semantic-segmentation portrait-segmentation computer-vision audio-visual-applications self-supervision sound-source-separation machine-learning representation-learning
Language:HTML 2
zudi-lin / RIDE
Robust Iterative Data Estimation (RIDE)
adversarial-attacks self-supervision
Language:Python 2
andrea-cavallo-98 / Advanced-Machine-Learning
Domain adaptation in real-time semantic segmentation. Project for the course Advanced Machine Learning.
computer-vision domain-adaptation self-supervision semantic-segmentation
Language:Python 1
FinnBehrendt / Unsupervised-Anomaly-Detection-in-Brain-MRI
A Collection of Data sets and Approaches to UAD in Brain MRI.
anomaly-detection awesome-list brain-mri generative-model review self-supervision unsupervised-anomaly-detection
1
IndexFziQ / Self-Supervised-Learning-for-NLP
A research on self-supervised learning with the interest of applying it into NLP field.
self-supervised-learning nlp research self-supervised self-supervision
1
mano3-1 / Flipr_Hackathon
This is the solution for stock-market prediction problem given in flipr 5.0.
series-modelling flipr-hackathon rnn tensorflow tabular-data tabnet self-supervision
Language:Jupyter Notebook 1
oneonlee / Building-Transformer-Based-NLP-Applications
NVIDIA DLI "트랜스포머 기반 자연어 처리 애플리케이션 구축" 워크숍 레포지토리
bert ner nvidia text-classification transformer nemo nlp machine-learning self-supervision word-embedding triton-inference-server
Language:Jupyter Notebook 1
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.
llm nlp captioning eeg fine-tuning prompt deep-learning machine-learning generative-ai aws-sagemaker lamini peft icl rlhf transformers-models reinforcement-learning self-supervision cnn cnn-lstm rag
Language:Jupyter Notebook 0
watercow / SomeCode
不是想写的代码，但是让我求生的代码
self-supervision
Language:Python 0