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causal-text-embeddings

Software and data for "Using Text Embeddings for Causal Inference"

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causal_pathway_training

Identify the causality for air pollution in China (North China, Yangtze River Delta, and Pearl River Delta)

causalimpact

An R package for causal inference in time series

causalml

Uplift modeling and causal inference with machine learning algorithms

cdac-plus

Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement (AAAI2020)

centernet-deep-sort

realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)

cf2vec

Collaborative Filtering dataset embeddings for algorithm selection

cf_metafeatures

chtn_ijcai2017

Source code of our IJCAI 2017 paper "Cross-modal Common Representation Learning by Hybrid Transfer Network"

cido

CIDO: Coronavirus Infectious Disease Ontology

citytaxi

The main goal is to design an Android App that will be used to match up a passenger with the nearest taxi driver. The app will be designed with THREE actors in mind: Prospective Passenger, Taxi driver, and Administrator. GPS sensor in the phone will be used to determine Prospective Passenger’s location, and an algorithm will be used to match up with the nearest Taxi.

cluster_rides

A segmentation of GPS-enabled bicycle trajectories in Python 2.7 with walkthrough in iPython Notebook.

clustergan

Latent space clustering in Generative Adversarial Network (GAN)

clustergan-1

Pytorch Implementation of ClusterGAN (arXiv:1809.03627)

clustering

Using a quantum computer to cluster data points

clustering-gps-data-using-dbscan-

clustering_tutorial

A Tutorial of KMeans(++), GMM and Spectral Clustering

clustervaliditybigdata

This repository includes the code of our four algorithms for approximating Dunn's internal cluster validity index for big data. These algorithms have been published in the following journal: Rathore P., Ghafoori Z., Bezdek J. C., Palaniswami M., Leckie C.``Approximating Dunn's Cluster Validity Indices for Partitions of Big Data" in IEEE Transactions on Cybernetics (IEEE T-CYB), 2018

cmu-datf

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

coldwar

Cold War

comparison-of-association-rule-mining-algos

Comparison of Apriori, FP- Growth and ECLAT

comparison-of-disparity-estimation-algorithms

Implementation of simple block matching, block matching with dynamic programming and Stereo Matching using Belief Propagation algorithm for stereo disparity estimation

compressed-transformers

In this repository, we explore model compression for transformer architectures via quantization. We specifically explore quantization aware training of the linear layers and demonstrate the performance for 8 bits, 4 bits, 2 bits and 1 bit (binary) quantization.

compressed_sensing

compressive-sensing-and-deep-learning-framework

We propose Compressive Sensing and Deep Learning framework (CS-DL) for multiple satellite sensor based data fusion. It’s aims to improve spatial and temporal resolution for long term analysis. Compressive Sensing is used as an initial guess to combine data from multiple sources. Deep Learning model, using Long Short Term Memory Neural Network (LSTM/RNN) refines and further improves the resulting data fusion output from CS. Our CS-DL framework has been tested to fuse CO2 from the NASA Orbiting Carbon Observatory-2 (OCO-2) and the JAXA Greenhouse gases from Orbiting Satellites (GOSAT). It achieves lower errors and high correlation compared with the original data. This work demonstrates the use of CS-DL for fusing CO2 from NASA Orbiting Carbon Observatory-3 and GOSAT2 at higher resolution.

concare

Code for - ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context (AAAI-2020)

connectedvehicledocs

Documentation for UMTRI's Connected Vehicle Dataset

contact-tracing-with-machine-learning-using-dbscan

The code proposes a digital contact tracing algorithm that relies on GPS data