Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

NumPy aware dynamic Python compiler using LLVM

Cross-platform lib for process and system monitoring in Python

Interactive convnet features visualization for Keras

Make huge neural nets fit in memory

Deep Learning Toolkit for Medical Image Analysis

Models and examples built with TensorFlow

ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

Generic U-Net Tensorflow implementation for image segmentation

unet for image segmentation

Neural network visualization toolkit for keras

Fifth place solution of the Kaggle Diabetic Retinopathy competition.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

move forward to https://github.com/dmlc/mxnet

Results of the Kaggle diabetic retinopathy screening challenge

Submanifold sparse convolutional networks

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

Keras code and weights files for popular deep learning models.

Code for paper "Convergent Learning: Do different neural networks learn the same representations?"

This is now a branch of

[ICCV 2017] Torch code for Grad-CAM

DeepVis Toolbox

Use CNNs to generate images

Recurrent Visual Attention Model

A PyTorch Implementation of "Recurrent Models of Visual Attention"

A lightweight, extendible, easy to use Python package for deep dreaming and image generation with Caffe and CNNs.

Torch implementation of neural style algorithm