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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

anet2016-cuhk

Action Recognition Toolbox for CUHK&ETHZ&SIAT submission to ActivityNet 2016

caffe-augmentation

Data Augmentation for Caffe

caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

caffe-model-zoo

caffe pretrained models and prototxt

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

caffemex_v2

Easily deploy multi-GPU caffe on Windows or Linux

deep-residual-networks

Deep Residual Learning for Image Recognition

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

fanqiang

翻墙-科学上网

faster-rcnn_tf

Faster-RCNN in Tensorflow

fcis

Fully Convolutional Instance-aware Semantic Segmentation

finger-vein-recognition

A project on finger vein recognition

focal-loss

Reproduction of Focal-loss on caffe

focal-loss-implement-on-tensorflow

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

focalloss

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.

fw-net

FW-Net for image denoising

image-segmentation-keras

Implementation of Segnet, FCN, UNet and other models in Keras.

manutdzou.github.io

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mias-mammography

Analysis of MIAS and DDSM mammography datasets

models

Models and examples built with TensorFlow

mx-maskrcnn

An MXNet implementation of Mask R-CNN

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

py-r-fcn

R-FCN with joint training and python support

py-r-fcn-multigpu

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

r2cnn_fpn_tensorflow

R2CNN: Rotational Region CNN Based on FPN (Tensorflow)

raccoon_dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

resnet-cifar10-caffe

ResNet 20 32 44 56 110 for CIFAR10 with caffe

resnet-protofiles

Caffe Protofiles for MSRA ResNet: train prototxt