chenyc15

MS-D_Net_PyTorch

PyTorch implementation of Mixed-Scale Dense Convolutional Neural Network (MS-D Net) for Image Analysis

medical-data

FastMaskRCNN

Mask RCNN in TensorFlow

3DUnetCNN

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

BEGAN-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

keras-vis

Neural network visualization toolkit for keras

interpretableCNN

Faster-RCNN_TF

Faster-RCNN in Tensorflow

CycleGAN-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dl_tutorial

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

CycleGAN

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

keras-retinanet

Keras implementation of RetinaNet object detection.

Detectron

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

imgaug

Image augmentation for machine learning experiments.

open-solution-data-science-bowl-2018

Open solution to the Data Science Bowl 2018

Mask_RCNN

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

Pytorch_Mask_RCNN

Converted from [tf+keras version MASK-RCNN](https://github.com/matterport/Mask_RCNN)

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

NiftyNet

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

The-Art-Of-Programming-By-July-2nd

本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售

ganhacks

starter from "How to Train a GAN?" at NIPS2016

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.