577 Open source projects that are alternatives of or similar to Robustness

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

Unofficial PyTorch Reimplementation of RandAugment.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

A light-weight, power efficient, and general purpose convolutional neural network

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

PSPNet in Chainer

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

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

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

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

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

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

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

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

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

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)

Keras tutorial for beginners (using TF backend)

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

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

Face landmarks(fiducial points) detection benchmark

🔥 Reproducibly benchmarking Keras and PyTorch models

Vehicle detection using YOLO in Keras runs at 21FPS

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

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

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

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

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Convolutional neural networks for artistic style transfer.

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

food image to recipe with deep convolutional neural networks.

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Draw multi-layer neural network in your browser

A best practice for tensorflow project template architecture.

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

A brand logo detection system using tensorflow object detection API.

Keras- Multi Label Image Classification

Anomaly detection implemented in Keras

Deep Convolutional Neural Networks for Musical Source Separation

Convolutional Neural Network for Human Activity Recognition in Tensorflow

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

Code examples for new APIs of iOS 10.

Implementation of State-of-the-art Text Classification Models in Pytorch

Deep Learning Computer Vision Algorithms for Real-World Use

[CVPR2020] GhostNet: More Features from Cheap Operations

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.