A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

A PyTorch Implementation of Single Shot MultiBox Detector

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Code examples for new APIs of iOS 10.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Notes for Fastai Deep Learning Course

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Descriptive Deep Learning

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

📷 Point your camera at things to learn how to say them in a different language. Android app built with React Native.

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.

Node bindings for YOLO/Darknet image recognition library

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

Experiments with Mobile

Deep Learning Computer Vision Algorithms for Real-World Use

计算图片之间的相似度

Streaming over lightweight data transformations

League of legends bot is a pixel bot for League Of Legends 10.19, written in C# .NET using image processing , and dependency injection (Pattern Scripting)

Materials for GWU DNSC 6279 and DNSC 6290.

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

Computer Vision and Image Recognition algorithms for R users

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

The Best Image OCR SDK For BAT

Vision Framework Demo on Text Detection

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

Open source software for chip reverse engineering.