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augmentor

Image augmentation library in Python for machine learning.

azure-gpu-setup

Azure GPU

caffe

Caffe: a fast open framework for deep learning.

caffe-augmentation

:zap: Caffe real-time data augmentation on-the-fly!!

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

caffe-windows

Configure Caffe in one hour for Windows users.

caffe_demos

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

crf

Simple implementation of Conditional Random Fields (CRF) in Python

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

cs231n

Solved assignments from Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition

cutpaste

Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch

cvpy

Simple C++ code for converting OpenCV Mat objects to Python and easily reusing OpenCV C++ code in Python.

cyclic_learning_rate

“Cyclical learning rates for training neural networks.”

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

deeplab-context

deeplab-public-ver2

This repo was mirrored from here: https://bitbucket.org/aquariusjay/deeplab-public-ver2

deeplab-windows

deeplab_v3

Implementation of the Semantic Segmentation DeepLab_V3 CNN as described in: https://arxiv.org/pdf/1606.00915.pdf

deeplabv3-tensorflow

Reimplementation of DeepLabV3

deeploc

This repository contains the code, and access to the pretrained models and datasets for the paper: "Automated analysis of high-content microscopy data with deep learning"

dense-net

Tensorflow implementation of the DenseNet

densenet

An tensorflow(slim) implementation of Densenet

digits

Deep Learning GPU Training System

frrn

Full Resolution Residual Networks for Semantic Image Segmentation

image_augmentor

Data augmentation tool for images

image_slicer

Split images into tiles. Join the tiles back together.

imgaug

Image augmentation for machine learning experiments.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.