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conv_arithmetic

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

convneuralnetwork

A tensorflow implementation of CNN in the paper Dexpression: Deep convolutional neural network (https://arxiv.org/abs/1509.05371) by Burkert et al.

convolupy

A library for creating/using convolutional neural networks in Python.

convolutional-network

A convolutional neural network from scratch

convolutional-neural-network

convolutional-neural-network-1

Convolutional Neural Network for Facial Expression Recognition of Basic Emotions in Python using the TensorFlow framework

convolutional_neural_networks--car_plate_recognition

OCR & Computer Vision thesis for Car Plate Recognition using Image Processing, Unsupervised Learning and Deep Learning

convolutionalautoencoder

Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow

convolutionalemotion

A deep convolutional neural network system for live emotion detection

copilot

Lane and obstacle detection for active assistance during driving

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

courses-1

fast.ai Courses

cpp

Step by step on C++

cpp-sdk-samples

Example apps for the Affdex SDK for Windows and Linux

cpython

The Python programming language

crankshaft

Crankshaft: A turnkey GNU/Linux solution to transforms a Raspberry Pi to an Android Auto head unit.

crema-d

Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)

crfasrnn_keras

CRF-RNN Keras/Tensorflow version

crnn

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

crnn-keras

CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition

crnn-with-stn

implement CRNN in Keras with Spatial Transformer Network

cs224d

CS224D Assignments

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs231n

CS231n assignment & Notes & Slides

cs295-pa1

csc411-facial-expression-recognizer

CSC411 final project: recognizing facial expressions using convolution neural net, SVM, neural net, and ensemble methods. Please read "final" folder for final version. Kaggle competition result: CNN 78.3%, SVM 75.3%, Neural Net 76.0%. Please enable GPU acceleration. Please do not copy or plagiarize.

cudarray

CUDA-based NumPy

cupy

NumPy-like API accelerated with CUDA

cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

darkflow

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