image-classification
Tracked open-source repos tagged image-classification, sorted by stars.
- #31
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
★ 2,326+0Star change over the last 7 days - #32★ 2,295+0Star change over the last 7 days
- #33
ECCV 2026 论文和开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2026论文和开源项目
★ 2,279+1Star change over the last 7 days - #34
[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
★ 2,227+2Star change over the last 7 days - #35
Implementation of EfficientNet model. Keras and TensorFlow Keras.
★ 2,100+0Star change over the last 7 days - #36
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
★ 1,952+0Star change over the last 7 days - #37
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
★ 1,906-1Star change over the last 7 days - #38
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
★ 1,884+1Star change over the last 7 days - #39
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
★ 1,630+0Star change over the last 7 days - #40
PyTorch extensions for fast R&D prototyping and Kaggle farming
★ 1,575+0Star change over the last 7 days - #41
PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
★ 1,363+1Star change over the last 7 days - #42
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
★ 1,325+5Star change over the last 7 days - #43
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
★ 1,315+2Star change over the last 7 days - #44
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
★ 1,299+0Star change over the last 7 days - #45
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
★ 1,239+2Star change over the last 7 days - #46
Automatically find issues in image datasets and practice data-centric computer vision.
★ 1,199+0Star change over the last 7 days - #47
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
★ 1,188+3Star change over the last 7 days - #48
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
★ 1,087-1Star change over the last 7 days - #49
[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.
★ 1,071+3Star change over the last 7 days - #50★ 1,059+8Star change over the last 7 days
- #51
:fire: :fire: :fire: A paper list of some recent Computer Vision(CV) works
★ 973+1Star change over the last 7 days - #52
Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention
★ 943+1Star change over the last 7 days - #53
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
★ 925+0Star change over the last 7 days - #54★ 909+1Star change over the last 7 days
- #55★ 816+0Star change over the last 7 days
- #56
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and live video streams.
★ 815+8Star change over the last 7 days - #57
A powerful baseline for image classification, face recognition and image retrieval with Pytorch
★ 807+1Star change over the last 7 days - #58
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
★ 708-1Star change over the last 7 days - #59
Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
★ 703+1Star change over the last 7 days - #60★ 621+0Star change over the last 7 days