lizhangzhan Goto Github PK

c-algorithms

A library of common data structures and algorithms written in C.

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

cdescent

A pure C implementation of the coordinate descent algorithm to solve L1 regularized linear regression problem

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

climin

Optimizers for machine learning

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn_finetune

Fine-tune CNN in Keras

cnn_sentence

CNNs for sentence classification

cocoa

communication-efficient distributed coordinate ascent

codeview

cola

A distributed crawling framework.

collabstream

Parallelized Online Matrix Factorization for Collaborative Filtering using Stochastic Gradient Descent

conv-vae

Convolutional Variational Autoencoder for EC2 GPU instance test

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

convolutional-neural-networks

A CNN implementaion in theano with many features such as dropouts, adagrad, momentum, svm layer and access to many datasets through skdata.

convsentanalysis

Using convolutional nets for sentiment analysis

coordinate-ascent

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

cpputil

crepe

Text classification from character-level using convolution networks

cs224n-winter17-notes

Course notes for CS224N Winter17

cs231

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

cs330-stanford-deep-multi-task-and-meta-learning

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

csbook

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

dataflowjavasdk

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

day4-vae

dcgan_code

Deep Convolutional Generative Adversarial Networks

dcgan_tensorflow

Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"

deep-learning-for-anomaly-detection-a-survey

This paper is continuously updated with deep anomaly detection methods and their applications