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3d-machine-learning

A resource repository for 3D machine learning

actionvlad

ActionVLAD for video action classification (CVPR 2017)

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

awesome-deep-vision

A curated list of deep learning resources for computer vision

caffe

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

caffe-2dlstm

Unfinished version

caffe-multilabel

caffe-tensorflow

Caffe models in TensorFlow

caffe_code_analysis

Caffe_Code_Analysis

caffecode

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cnn-lstm-caption-generator

A Tensorflow implementation of CNN-LSTM image caption generator architecture that achieves close to state-of-the-art results on the MSCOCO dataset.

cnn-lstm-ctc-text-recognition

CNN and LSTM model for text recognition

cnn_depth_tensorflow

depth estimation using tensorflow

continuouscrf-cnn

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

cv-cuda

CV-CUDA™ is an open-source, graphics processing unit (GPU)-accelerated library for cloud-scale image processing and computer vision.

da-rnn

Semantic Mapping with Data Associated Recurrent Neural Networks

deep_complex_networks

Implementation related to the Deep Complex Networks

deep_homography_estimation

Compute homographies with deep networks instead of feature matching and RANSAC.

deeplab-v2--resnet-101--tensorflow

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

deeplearning-ai

Repo for various AI/deep learning projects that I've done

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deepslam

deepvo

Implementing Monocular Visual Odometry with Deep Learning using TensorFlow

demfi

Official repository of DeMFI (arXiv.)

demon

DeMoN: Depth and Motion Network

dense-optical-flow-prediction

Deep learning mechanism to predict the dense optical flow of every pixel given a static image. This approach considers non-semantic form of action prediction that makes it domain independent and makes no assumptions of the underlying scene.

densedepthmapcreationfromsparsepoints