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condensenet

CondenseNet: An Efficient DenseNet using Learned Group Convolutions

conditional-neural-process

conditional-pixelcnn-decoder

Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

conditional-seq-gans

conference-school-notes

Collected Conference & Summer School Notes

conference_call_for_paper

2018-2019 International Conferences in Artificial Intelligence, Computer Vision and Image Processing

congan

Continious Generative Adversarial Network

connectome_conv_net

Connectome-convolutional neural netvork for connectivity-based classificatin

content-style-disentangled-st

Content and Style Disentanglement for Artistic Style Transfer

contentdisentanglement

PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer"

contrastivelosses4vrd

Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Generation"

controlgan

Pytorch implementation for Controllable Text-to-Image Generation.

conv_seq2seq

A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)

conversationalrobotdesign

对话机器人（聊天机器人）设计思考

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

convnet-aig

PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs

convnet-drawer

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

convolution-visualizer

Convolution visualizations

convolutional-neural-fabrics

Architecture learning for CNN's

convolutional-neural-networks

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

convolutional-prototype-learning

An implementation (TensorFlow) of CPL and GCPL appeared in CVPR2018 paper: "Robust Classification with Convolutional Prototype Learning"

convolutional_neural_network

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

coordconv

CoordConv Implenmentation

cornernet

corr_prediction_arima_lstm_hybrid

We applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

counteract

Fighting mental illness through ML

couplegenerator

Generate your lover with your photo

coursera-advanced-machine-learning-specialization

Repo for coursera specialization Advanced Machine Learning by Higher School of Economics

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

courses

fast.ai Courses