6665 Open source projects that are alternatives of or similar to Computer Vision

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

A machine learning experiment

Object classification with CIFAR-10 using transfer learning

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

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

Efficient Learning of Augmentation Policy Schedules

Best Practices, code samples, and documentation for Computer Vision.

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

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

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Deep learning codes and projects using Python

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

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

Image Tampering Detection using ELA and CNN

CNN image classifier implemented in Keras Notebook 🖼️.

Implementations of some popular Saliency Maps in Keras

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

A journey into Convolutional Neural Network visualization

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

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

Important paper implementations for Question Answering using PyTorch

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

A lightweight convolutional neural network

CNN image style transfer 🎨.

Build a CNN network to predict 3D bounding box of car from 2D image.

Parametric Contrastive Learning (ICCV2021)

TensorFlow Tutorials

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

No description or website provided.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

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

A collection of SOTA Image Classification Models in PyTorch

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

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

tensorflow implementation of Grad-CAM (CNN visualization)

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Repository for most of the code from my YouTube channel

Deep Learning Computer Vision Algorithms for Real-World Use

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

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Unofficial PyTorch Reimplementation of RandAugment.

Keras- Multi Label Image Classification

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

Convolutional neural networks for artistic style transfer.

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