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crychat-server

A Blockchain messenger

crypto

Transparencias para un curso de introducción a la criptografía

cryptocurrency.blockchain

A .NET Standard 2 & Xamarin Forms implementation of a Blockchain

cs-toolkit

A Minimalist framework for exploring syntactic derivations, with built-in support for code switching data.

cs188.1x-project3

This was the third project for Berkeley's CS188.1x. Topics included MDP with Value Iteration and Policy iteration. These topics were practiced with Pacman, a robot learning to move across the screen, and a game called GridWorld

cs224n-2020-winter

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

cs229-2019-summer

All notes and materials for the CS229: Machine Learning course by Stanford University

cs231n.github.io

Public facing notes page

cs246-lec2-association

cs246(mining massive data sets ) lec2 Frequent itemsets and Association rules

cs483_twitterdatamining_hw2

Python script for analyzing a data set, then creating a graph from the data set

cs522_document_clustering_using_topic_modeling_techniques

Document clustering or text clustering is an application of cluster analysis to textual documents. Using this clustering mechanism and its different implementations we will focus on modelling topics and clustering the documents based on these topics. The main aim of this project is to provide an overview of some widely-used document clustering techniques. We will compare three different techniques viz. Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA) and Word2Vec and, analyze our results to learn which technique is better. For better analysis, we will be working over 2 datasets: Enron Email Dataset and Yelp Dataset, to carry out experiment on multiple different topics.

cs545-a5

Feature selection using two datasets

cs784-data_integration

CS 784 Final Project.

cs784-project

A Python machine learning pipeline designed to classify pairs of product tuples as matches or mismatches. Written as a class project.

cs_algorithm_scripts

scripts for various code tests

cse-6242

GaTech CSE 6242 homework

cse250b_lda

Topic Modeling using Latent Dirichlet Allocation trained by Gibbs Sampling

csgd-cmsgd

csinva.github.io

Slides, paper notes, class notes, blog posts, and research on machine learning, statistics, and artificial intelligence.

csit

css605-fall2011

Course Materials for CSS 605 -- Object-Oriented Programming for Social Sciences

csv-cleaning-data-in-python

This program manipulate csv file to read and edit in python. The function is to add coordinate on given province. I use Geopy library to get the coordinate.

csv2vowpal

My take on the fastest possible translator for CSV to VW (vowpal wabbit) files using R. This is a work in progress

ctfdist

tools to detect and correct biased classifiers with counterfactual distributions

ctgan

Conditional GAN for generating synthetic tabular data.

ctm-c

This implements variational inference for the correlated topic model.

ctr

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.

ctr-algorithms-ipinyou

在ipinyou数据集上实现了ctr预测常用算法

ctr-prediction

some ad CTR prediction tasks based on vowpal wabbit and xgboost

ctr-prediction-1

Click-through rate (CTR) is a very important metric for evaluating ad performance in online advertising. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding. In our dataset, we have provided 11 days’ worth of Avazu data to build and test prediction models.