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action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

apollocaffe

Apollocaffe - Dynamic networks with caffe -

aruco

ArUco is a minimal C++ library for detection of Augmented Reality markers based on OpenCv exclusively.

ask-my-pdf

Question answering system for PDF files

aspect-based-sentiment-analysis-ire-major-project

attrspace

Attribute Space Metric Learning

awesome-sentence-embedding

A curated list of pretrained sentence(and word) embedding models

binaryconnect

Training Deep Neural Networks with binary weights during propagations

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

bionano-wetlabaccelerator

A tool for researchers working in synthetic biology and virology to design robotic wet lab protocols using a visual UI without coding.

brain_segmentation

brats

DeepMedic starter code in pytorch

breast_density_classifier

Breast density classifier

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

cliner

Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

crackccodeexercise

ddnn

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

deep_learning_glossary

Simple, opinionated explanations of various things encountered in Deep Learning

deeprosetta

An universal deep learning models conversor

detectron

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

doctorai

Repository for Doctor AI project

drh-visual-odometry

Automatically exported from code.google.com/p/drh-visual-odometry

fb-caffe-exts

Some handy utility libraries and tools for the Caffe deep learning framework.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.

googletest

Google Test

goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

ilgnet