PASS
Self-supervised dataset
A repository for an image dataset designed to support self-supervised pretraining without human presence, providing pretrained models and utilities for its use.
The PASS dataset: pretrained models and how to get the data
262 stars
7 watching
17 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list
computer-visionrepresentation-learningself-supervised-learning
Related projects:
Repository | Description | Stars |
---|---|---|
autodistill/autodistill | Automatically trains models from large foundation models to perform specific tasks with minimal human intervention. | 1,983 |
vishaal27/sus-x | This is an open-source project that proposes a novel method to train large-scale vision-language models with minimal resources and no fine-tuning required. | 94 |
sola-st/wasmbench | A large dataset of real-world WebAssembly binaries collected from various sources for testing and machine learning purposes. | 53 |
autonomousvision/kitti360scripts | A collection of utility scripts for loading and visualizing the KITTI-360 dataset | 389 |
szq0214/dsod | A deep learning-based object detection system from scratch | 706 |
kaushalshetty/structured-self-attention | A deep learning model that generates sentence embeddings using structured self-attention and is used for binary and multiclass classification tasks. | 494 |
e9t/nsmc | A dataset of Korean movie reviews with labeled sentiment annotations. | 566 |
tmadl/semisup-learn | A framework for training semi-supervised machine learning models using various techniques | 502 |
wanshun123/facial-beauty-prediction | Web application that predicts facial beauty ratings from uploaded selfies using machine learning on a specific dataset. | 10 |
lijunnan1992/dividemix | A PyTorch implementation of a semi-supervised learning framework for training deep neural networks with noisy labels by dynamically dividing the data into clean and noisy sets. | 543 |
sergioburdisso/pyss3 | A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 |
josephreisinger/vowpal_porpoise | Lightweight machine learning library with interface to scikit-learn and vowpal_wabbit | 166 |
larsmans/seqlearn | A toolkit for building sequence classification models in Python | 688 |
pku-yuangroup/open-sora-dataset | A large video dataset collected from various open-source websites for use in computer vision and multimedia applications. | 93 |
shengcao-cao/hassod | Develops a neural network architecture for object detection and instance segmentation without labeled data | 51 |