There are 60 repositories under image-classification topic.
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目
Implementation of Quickdraw - an online game developed by Google
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Train the HRNet model on ImageNet
PoolFormer: MetaFormer is Actually What You Need for Vision (CVPR 2022 Oral)
Food Classification with Deep Learning in Keras / Tensorflow
TensorFlow models accelerated with NVIDIA TensorRT
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
Brevitas: quantization-aware training in PyTorch
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
High-performance Vision library in Python. Scale your research, not boilerplate.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Implementation of Bottleneck Transformer in Pytorch
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
Residual Attention Network for Image Classification
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
LibFewShot: A Comprehensive Library for Few-shot Learning.
Efficient Learning of Augmentation Policy Schedules
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes
Dataset of images of trash; Torch-based CNN for garbage image classification
Tensorflow based training and classification scripts for text, images, etc
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
Two simple and effective designs of vision transformer, which is on par with the Swin transformer
Medical image processing in Python
RMDL: Random Multimodel Deep Learning for Classification
Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.
RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.