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

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

Comparison of famous convolutional neural network models

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

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

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

A modern PyTorch implementation of SRGAN

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

Multi-view CNN (MVCNN) for shape recognition

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

Outdated, see new https://github.com/braindecode/braindecode

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

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

Deep Learning Computer Vision Algorithms for Real-World Use

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

Simple and comprehensive tutorials in TensorFlow

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

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

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.

tensorflow implementation of Grad-CAM (CNN visualization)

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

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

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

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

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

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

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

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

food image to recipe with deep convolutional neural networks.

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

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

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

A brand logo detection system using tensorflow object detection API.

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

Anomaly detection implemented in Keras

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

Deep Convolutional Neural Networks for Musical Source Separation

Selective Classification For Deep Neural Networks.

Code examples for new APIs of iOS 10.

Unofficial TensorFlow implementation of "AlexNet" architecture.

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

A collection of SOTA Image Classification Models in PyTorch

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

[CVPR2020] GhostNet: More Features from Cheap Operations

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

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

Repository for most of the code from my YouTube channel

Compare neural networks by their feature similarity

Etiketai is an online tool designed to label images, useful for training AI models

A Harder ImageNet Test Set (CVPR 2021)

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

This is an open sourced book on deep learning.

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Autoencoder trained on ImageNet Using Torch 7

BCDU-Net : Medical Image Segmentation

Training Low-bits DNNs with Stochastic Quantization

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

Temporal Segments LSTM and Temporal-Inception for Activity Recognition