1626 Open source projects that are alternatives of or similar to Espnetv2

PSPNet in Chainer

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

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

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

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

Object classification with CIFAR-10 using transfer learning

CNN image classifier implemented in Keras Notebook 🖼️.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

A specially designed light version of Fast AutoAugment

A High-Quality Real Time Upscaler for Anime Video

3D image classification using CNN (Convolutional Neural Network)

RMDL: Random Multimodel Deep Learning for Classification

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

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

convolutional lstm implementation in pytorch

PyTorch implementation of LeNet-5 with live visualization

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Deep learning codes and projects using Python

Be Driven 🚘

CNN for Chinese Text Classification in Tensorflow

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

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

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

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

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

PyTorch tutorial for learners

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Official Implementation of 'Fast AutoAugment' in PyTorch.

Simple Convolutional Neural Network Library

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

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

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

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

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Comparison of famous convolutional neural network models

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

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

A generalized gradient-based CNN visualization technique

a radical and experimental distribution based on musl libc and busybox

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Code examples for new APIs of iOS 10.

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

A modern PyTorch implementation of SRGAN

A curated list of resources focused on Machine Learning in Geospatial Data Science.

BCDU-Net : Medical Image Segmentation

Segmentation models with pretrained backbones. PyTorch.

This repository contains the source code of our work on designing efficient CNNs for computer vision

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

Unofficial PyTorch Reimplementation of RandAugment.

CNN image style transfer 🎨.

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.