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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.

coding-interview-university

A complete computer science study plan to become a software engineer.

colorhistogram

Simple demos of Color Histogram (Python).

conv_arithmetic

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

convcap

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

craftgbd

code for CUImage and CUVideo

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

cugraph

cuGraph - RAPIDS Graph Analytics Library

cvpr2016

Learning Deep Representations of Fine-grained Visual Descriptions

d3

A JavaScript visualization library for HTML and SVG.

d3-tutorial

dan

Deep Averaging Networks

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deal_contact

毕设暂存

decode_complete

Recovery of the complete data set from focused ultrasound beams

deep-learning-for-image-retrieval

Page to list the related works on deep learning for image retrieval.

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deep-learning-with-caffe

My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-retrieval

🌁 Image retrieval using deep learning of global descriptors.

deep3d

Automatic 2D-to-3D Video Conversion with CNNs

deepdream

deepfacelab

DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

deeplearning-cats-dogs-tutorial

Source code for blog post: A Practical Introduction to Deep Learning with Caffe and Python

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmask

Torch implementation of DeepMask and SharpMask

deepspeech

DeepSpeech neon implementation

deepultrasound

Deep Learning RF Interpolation for Compressive Ultrasound Imaging

deepunderstanding

Review of Image Captioning and Scene Graph papers