Showing 41-60 of 60 projects
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
PyTorch extensions for fast R&D prototyping and Kaggle competition tools
A comprehensive PyTorch-based code repository for image classification, including training, prediction, TTA, model fusion, deployment, and more.
Unsupervised image classification library using contrastive learning and SCAN algorithm.
PoolFormer is a vision transformer model that achieves state-of-the-art performance on image classification tasks.
A collection of pre-trained computer vision models for developers building AI-powered applications.
A pretrained model for detecting lewd images, part of Bumble's image moderation tools.
A novel neural operator called Involution that can be used for image classification, object detection, and other computer vision tasks.
Official repository for the Mish activation function, a novel neural network activation function.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Train, evaluate, optimize, and deploy computer vision models with OpenVINO, a toolkit for accelerating deep learning on edge devices.
An all-in-one data labeling and annotation platform for multimodal data training, supporting 3D LiDAR, images, and language models.
Automatically find issues in image datasets and practice data-centric computer vision.
A library of chest X-ray datasets and models for medical AI/ML applications.
Implementation of the QuickDraw game, a computer vision and deep learning project focused on image classification.
A library for accelerating deep neural networks through channel pruning, a model compression technique.
Tutorials on implementing image classification architectures using PyTorch and TorchVision.
A comprehensive library for few-shot learning in Python with PyTorch, featuring state-of-the-art algorithms.
A high-resolution network (HRNet) model for image classification trained on the ImageNet dataset.
An open-source implementation of the SimMIM framework for self-supervised masked image modeling.
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