761 Open source projects that are alternatives of or similar to Cnn Models

Classification models trained on ImageNet. Keras.

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

A Caffe Re-Implementation of SENet

train resnet on imagenet from scratch with caffe

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

Implementation of popular deep learning networks with TensorRT network definition API

AI场景分类竞赛

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Various CNN models for CIFAR10 with Chainer

Segmentation models with pretrained backbones. PyTorch.

DSFD implement with pytorch

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Evaluation of the CNN design choices performance on ImageNet-2012.

Caffe Implementation of Google's MobileNets (v1 and v2)

Reimplementation ResNet on cifar10 with caffe

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

VGG16 architecture with BatchNorm

Pre-trained VGG-Net Model for image classification using tensorflow

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

This is a code repository for pytorch c++ (or libtorch) tutorial.

73.6% GhostNet 1.0x pre-trained model on ImageNet

Scripts to work with LMDB + PyTorch for Imagenet training

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Easily train or fine-tune SOTA computer vision models with one open source training library

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

Caffe Wide-Residual-Network (WRN) Generator

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Deep learning codes and projects using Python

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

AI Papers

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

🙄 Difficult algorithm, Simple code.

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

tensorflow implementation of Grad-CAM (CNN visualization)

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

记录每一个常用的深度模型结构的特点（图和代码）

Training Low-bits DNNs with Stochastic Quantization

用python做计算机视觉，人工智能，机器学习，深度学习等

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Xception implemented with caffe

practice on CIFAR10 with Keras

PyTorch to Keras model convertor

Keras implementation of a ResNet-CAM model

PyTorch implementation of DeepDream algorithm

VGG-Face CNN descriptor in PyTorch.

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Classification with PyTorch.

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging