SelfEEG
SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography - Published in JOSS (2024)
stepcount
Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers
paddlescience
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
vitpose
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"
https://github.com/dipy/dipy
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
https://github.com/amazon-science/semimtr-text-recognition
Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)
https://github.com/chris-santiago/met
Reproducing the MET framework with PyTorch
https://github.com/astrazeneca/subtab
The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
https://github.com/chris-santiago/vime
Reproducing the VIME framework for self- and semi-supervised learning to tabular domain.
https://github.com/chris-santiago/autoencoders
Experimenting with various autoencoder architectures.
https://github.com/atomicarchitects/dens
[TMLR 2024] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
https://github.com/cosmaadrian/gait-vit
Official codebase for "Exploring Self-Supervised Vision Transformers for Gait Recognition in the Wild"
ssl-caller-detection
Source code for the paper 'Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?' by E. Sarkar and M. Magimai Doss (2023).
https://github.com/bytedance/twist
Official codes: Self-Supervised Learning by Estimating Twin Class Distribution
Lighter
Lighter: Configuration-Driven Deep Learning - Published in JOSS (2025)
actinet
An activity classification model based on self-supervised learning for wrist-worn accelerometer data.
ts3l
A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
https://github.com/amazon-science/video-contrastive-learning
Video Contrastive Learning with Global Context, ICCVW 2021
https://github.com/amazon-science/exponential-moving-average-normalization
PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
https://github.com/cosmaadrian/gaitformer
GaitFormer Official Codebase for the paper "Learning Gait Representations with Noisy Multi-Task Learning"
ossid_code
Source code for OSSID: Online Self-Supervised Instance Detection by (And For) Pose Estimation
speech-utility-bioacoustics
On the utility of speech and audio foundation models for marmoset call analysis
https://github.com/cuiziteng/iccv_maet
[ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.
https://github.com/chenliu-1996/cuts
[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
https://github.com/chris-santiago/scarf
Reproducing the SCARF framework with PyTorch
https://github.com/astrazeneca/ness
Official implementation of "NESS: Node Embeddings from Static Subgraphs"
eccv_aeris
📷 [ECCV 2022] Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
multi-shared-task-self-supervised-cnn-lstm
Multi-shared-task Self-supervised Learning utilizing CNN-LSTM network