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caffe-video_triplet

Unsupervised Learning using Videos (ICCV 2015)

caffe-windows

caffe-yolo

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

caffeonspark

carc

Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval

categoryshapes

Code for "Category-Specific Object Reconstruction from a Single Image" CVPR 2015.

ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

cdbn

Convolutional Deep Belief Network (Honglak Lee's ICML paper)

cell-segmentation

cell_analysis

cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

cf2

Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)

chainer-faster-rcnn

Object Detection with Faster R-CNN in Chainer

chainer-simple-fast-rnn

Chainer's simple implementation of fast R-CNN

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

clandmark

Open Source Landmarking Library

cle

clm-framework

CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.

clothes_parsing

Code for the paper 'A High Performance CRF Model for Clothes Parsing'.

clweadv

Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders

cma

Continuous Manifold-based Adaptation

cn24

Convolutional (Patch) Networks for Semantic Segmentation

cnn-for-image-retrieval

The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

cnn-vis

Use CNNs to generate images

cnn_head_detection

Code for ICCV 2015 paper "Context-aware CNNs for person head detection"

cnn_sentence

CNNs for sentence classification

cnn_torch7

cnndroid

Open Source Library for GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

cnnmrf

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"