CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

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

微信机器人 / 可能是最优雅的微信个人号 API ✨✨

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet)

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

使用deeplab_v3模型对遥感图像进行分割

Simple tutorials using Google's TensorFlow Framework

FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals

The world's simplest facial recognition api for Python and the command line

Awesome Caffe

MR-CNNs for Large-Scale Scene Recognition

C3D is a modified version of BVLC caffe to support 3D ConvNets.

Video-friendly caffe -- comes with a recent version of Caffe (Nov 2016), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

Tools to participate in the ActivityNet Challenge 2016

Neural Sentiment Classification

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

R-FCN: Object Detection via Region-based Fully Convolutional Networks

Fast parallel CTC.

Computational Network Toolkit (CNTK)

To learn the TensorFlow-Examples(https://github.com/aymericdamien/TensorFlow-Examples) of my own understanding

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Deep Learning GPU Training System

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

Tools to extract dense optical flow from videos, based on OpenCV

《OpenCV3编程入门》书本配套源码||《Introduction to OpenCV3 Programming》Book Source Code