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crosssemparse

Code for the paper: "Cross-domain Semantic Parsing via Paraphrasing" - EMNLP 2017

crvae

[WACV2018] Channel-Recurrent Autoencoding for Image Modeling

crypto-rnn

Learning the Enigma with Recurrent Neural Networks

cryptocurrencytrader

A machine learning program in python to generate cryptocurrency trading strategies using machine and deep learning on price, hash rate and scraped forum sentiment data (using natural language processing). Sklearn and Tensorflow.

cs

compressed sensing; scripts for "Applying compressed sensing to genome-wide association studies"

cs182

Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks

cs224d_deeplearningfornlp

Deep Learning for Nature Language Processing at Standford

cs224n-project

Abstractive text summarization http://arxiv.org/abs/1509.00685

cs224n-squad-project

cs224n-win18-squad

SQUAD Final Project

cs229_machinelearning_andrewng_coursera

Machine Learning from Andrew Ng at coursera.org with Standford

cs231n-convolutional-neural-networks-solutions

In this repo you can find my solutions for both 2016 and 2017 assignments of the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

cs231n_convolutional-neural-networks-for-visual-recognition

Convolutional Net for Computer Recognition at Standford: My Own Code

cs344-cuda-udacity

Windows Visual Studio Solutions for class "Introduction to Parallel Programming"

cs446-machinelearning

UIUC Spring2017 - CS446: Machine Learning - Prof. Dan Roth

cs5242-neural-network-and-deep-learning-assignments

Assignments of CS5242 Neural Network and Deep Learning (2017 Fall) at NUS.

cs6101

NUS CS6101 : Deep Learning for NLP (which is based on Richard Socher's Stanford CS244D)

cs7641-machine-learning

Machine Learning code for CS7641

csgm

Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

csk

Source code for Clique-based Semantic Kernel, NLE journal (2015)

csp_attention

csvideonet

ctcdecoder

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.

ctkd

Highlight Every Step: Knowledge Distillation via Collaborative Teaching

ctr-criteo

kaggle 2014 criteo ctr竞赛方案整理 https://www.kaggle.com/c/criteo-display-ad-challenge

ctr-prediction

some ad CTR prediction tasks based on vowpal wabbit and xgboost

ctr-prediction-1

Sharing the CTR Prediction original paper and personal study notes

ctr-predition

This project contain the tiny data set of KDD CUP 2012 Track2.

ctr_keras

LR, Wide&Deep, DCN, NFM, DeepFM, NFFM

ctr_model_zoo

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network