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Yongming Rao's starred repositories

nccl

Optimized primitives for collective multi-GPU communication

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py-R-FCN-multiGPU

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

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Face-Detecion-with-the-Faster-R-CNN-R-FCN

Face detection with the Faster-R-CNN or R-FCN

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ResNet

Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet

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convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

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cnn-benchmarks

Benchmarks for popular CNN models

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Deep-Image-Analogy

The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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deep-residual-networks

Deep Residual Learning for Image Recognition

MIT639100

TorchCraft

Connecting Torch to StarCraft

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CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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style-transfer

An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.

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R-FCN

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

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py-faster-rcnn

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

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NormFace

NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW

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fast-rcnn

Fast R-CNN

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FaceVerification

An Experimental Implementation of Face Verification, 96.8% on LFW.

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caffe-model

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

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face_verification_experiment

Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

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MTCNN_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

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facenet

Face recognition using Tensorflow

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caffe-face

This branch is developed for deep face recognition

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async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

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FlowNet

Modified Version of FlowNet, specifically for adversed environment optical flow

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