imagenet-classifier topic
classification_models
Classification models trained on ImageNet. Keras.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...
robot-grasp-detection
Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Con...
EdgeNets
This repository contains the source code of our work on designing efficient CNNs for computer vision
XmlToTxt
ImageNet file xml format to Darknet text format
mobilenet_v1_stm32_cmsis_nn
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
YOCO
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
PyTorch-Image-Models-Multi-Label-Classification
Multi-label classification based on timm.
ImageModels
ImageNet model implemented using the Keras Functional API
SKNet-PyTorch
Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet