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3dunet-pytorch

3DUNet implemented with pytorch

3dunetcnn

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

adversarialnetspapers

The classical papers and codes about generative adversarial nets

attention-gated-networks

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

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

boundary-loss

brain-tumor-segmentation-unet

Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.

brats18-challege

Multimodal Brain Tumor Segmentation Challenge 2018

cardiac-segmentation

Right Ventricle Cardiac MRI Segmentation

cell-segmentation

PyTorch implementation of several neural network models for cellular image segmentation

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

chinese-book

《深度学习：一起玩转TensorLayer》资源分享、讨论

cs224n-learning-camp

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection

ddu

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-learning

knowledge for deep learning book

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

densitypeakcluster

A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

dhsegment

Generic framework for historical document processing

dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

evidential-deep-learning-to-quantify-classification-uncertainty

Work on Evidential Deep Learning to Quantify Classification Uncertainty

examples

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

facerecognition-tensorflow

基于TensorFlow训练的人脸识别神经网络

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson