skadi007 Goto Github PK
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skadi007's Projects
awesome-self-supervised-multimodal-learning
A curated list of self-supervised multimodal learning resources.
clipn
ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
cocoa
COCOA: Cross Modality Contrastive Learning for Sensor Data
convirt-pytorch
🤖 🩻 Pytorch implementation of the ConVIRT Paper. Pioneer Image-Text Contrastive Learning approach for Radiology
cosmo
Repo for MobiCom 2022 paper: " Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition ".
crossl
(WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking
cvxbook_additional_exercises
Additional exercises and data for EE364a. No solutions; for public consumption.
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
fair_self_supervision_benchmark
Scaling and Benchmarking Self-Supervised Visual Representation Learning
focal
Pytorch Implementation of FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
learn-statistical-learning-method
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。
limu-bert-public
A lite BERT-like representation model for IMU sensor data
mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
prior
Official repository for the paper "Prototype Representation Joint Learning from Medical Images and Reports, ICCV 2023".
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
sem
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
stmae
The official implementation of paper "Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition". Accepted by PACM IMWUT / UbiComp 2024.
transfg
This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).
visualbert
Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"
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