234 Open source projects that are alternatives of or similar to Pytorch Deeplab Xception

Implementation of popular deep learning networks with TensorRT network definition API

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

A collection of deep learning models (PyTorch implemtation)

Try to implement deeplab v3+ on pytorch according to offical demo.

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

High level network definitions with pre-trained weights in TensorFlow

Computer vision library for wildfire detection

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

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)

Reimplementation ResNet on cifar10 with caffe

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

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)

基于深度学习图片鉴黄 Caffe implementation of Not Suitable for Work (NSFW)

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

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

Detecting cinema shot types using a ResNet-50

Training a ResNet on UMDFaces for face recognition

🙄 Difficult algorithm, Simple code.

A Caffe Re-Implementation of SENet

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

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

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

LUNA16-Lung-Nodule-Analysis-2016-Challenge

MobileNet-v2 experimental network description for caffe

R-DFPN: Rotation Dense Feature Pyramid Networks (Tensorflow)

基于MobileNetV2/EfficientNet-b0/... + LSTM + CTC的不定长图像识别训练pytorch框架

ASR with PyTorch

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

A Re-implementation of Fixed-update Initialization

yolov3 by pytorch

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

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

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

Machine learning, in numpy

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

train resnet on imagenet from scratch with caffe

Various CNN models for CIFAR10 with Chainer

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

PyTorch implementations of recent Computer Vision tricks

Reproduction of MobileNetV2 using MXNet

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Yolov5/Yolov4/ Yolov3/ Yolo_tiny in tensorflow

Residual networks implementation using Keras-1.0 functional API

Voice Activity Detection based on Deep Learning & TensorFlow

Classification with PyTorch.

A one stop shop for all of your activity recognition needs.

AI场景分类竞赛

DSFD implement with pytorch

I3D and 3D-ResNets in PyTorch

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

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

Object localization in images using simple CNNs and Keras

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Implementing YOLO using ResNet as the feature extraction network

A PyTorch Implementation of MobileNetv2+DeepLabv3