choiyeren

choiyeren's Stars

• InsightSoftwareConsortium/SimpleITK-Notebooks

  Jupyter notebooks for learning how to use SimpleITK

  Language:Jupyter Notebook844352

• zhixuhao/unet

  unet for image segmentation

  Language:Jupyter Notebook4.6k2k

• booz-allen-hamilton/DSB3Tutorial

  Language:Jupyter Notebook386195

• lfz/DSB2017

  The solution of team 'grt123' in DSB2017

  Language:Python1.2k418

• YiYuanIntelligent/3DFasterRCNN_LungNoduleDetector

  Language:Python421169

• ZhaofanQiu/pseudo-3d-residual-networks

  Pseudo-3D Convolutional Residual Networks for Video Representation Learning

  Language:C++352119

• carpedm20/DiscoGAN-pytorch

  PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

  Language:Jupyter Notebook1.1k226

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.5k8.1k

• longcw/faster_rcnn_pytorch

  Faster RCNN with PyTorch

  Language:Python1.7k465

• johndoherty/vatic

  vatic is an online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk. Our tool makes it easy to build massive, affordable video data sets. Written in Python + C + Javascript, vatic is free and open-source software.

  Language:HTML6720

• pjreddie/darknet

  Convolutional Neural Networks

  Language:C25.9k21.3k

• daijifeng001/R-FCN

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

  Language:Matlab1.2k540

• weiliu89/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++4.8k1.7k

• rbgirshick/py-faster-rcnn

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

  Language:Python8.2k4.1k

• rbgirshick/fast-rcnn

  Fast R-CNN

  Language:Python3.4k1.6k

• rbgirshick/rcnn

  R-CNN: Regions with Convolutional Neural Network Features

  Language:Matlab2.4k977

• ShaoqingRen/SPP_net

  SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

  Language:Matlab364237

• scott89/FCNT

  Language:Matlab13171

• pondruska/DeepTracking

  Source code of DeepTracking research project

  Language:Lua12949

• google-deepmind/mnist-cluttered

  Cluttered MNIST Dataset

  Language:Lua5028

• Element-Research/rnn

  Recurrent Neural Network library for Torch7's nn

  Language:Lua941313

• soumith/cvpr2015

  Language:Jupyter Notebook869424

• Atcold/torch-Video-Tutorials

  Light your way in Deep Learning with Torch 🔦

  Language:Lua59397

• torch/torch7

  http://torch.ch

  Language:C9k2.4k

• karpathy/neuraltalk2

  Efficient Image Captioning code in Torch, runs on GPU

  Language:Jupyter Notebook5.5k1.3k

• wojzaremba/lstm

  Language:Lua665283

• tomepel/Technical_Book_DL

  This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.

  Language:TeX1.4k107

• tigerneil/neural-networks-and-deep-learning-zh-cn

  440139

• ty4z2008/Qix

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

  14.8k4.7k

• karpathy/char-rnn

  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

  Language:Lua11.7k2.6k