812 Open source projects that are alternatives of or similar to Octconv.pytorch

Classification models trained on ImageNet. Keras.

OpenMMLab Image Classification Toolbox and Benchmark

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

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

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

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

No description or website provided.

PyTorch to Keras model convertor

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

MobileNetV3 in pytorch and ImageNet pretrained models

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

High level network definitions with pre-trained weights in TensorFlow

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)

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

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

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

ImageNet pre-trained models with batch normalization for the Caffe framework

Tensorflow Faster RCNN for Object Detection

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Gluon to PyTorch deep neural network model converter

Tensorflow Implementation of ChannelNets (NeurIPS 18)

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

🙄 Difficult algorithm, Simple code.

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

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

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

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.

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

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Scripts to work with LMDB + PyTorch for Imagenet training

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

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Voice Activity Detection based on Deep Learning & TensorFlow

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

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

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

PyTorch to Keras model convertor

train resnet on imagenet from scratch with caffe

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

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

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

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Classification with PyTorch.

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

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

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

A Caffe Re-Implementation of SENet

Implementation of character based convolutional neural network

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

A Simple and easy to use way to Visualise Embeddings!

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.