Giter VIP home page Giter VIP logo

fusion-research's Projects

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

ecpcs icon ecpcs

MATLAB code for Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities (IEEE TSMC-S 2021)

eda_gnn icon eda_gnn

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking

ee-137-doppler-radar icon ee-137-doppler-radar

A doppler radar for measuring the speed of a vehicle for the Tufts Radar Engineering Class

em_mixture_gaussians icon em_mixture_gaussians

Implementation of the Expectation-Maximization Algorithm for a Mixture of Gaussians for the wine data set from the UCI repository.

emitter-detection-book icon emitter-detection-book

MATLAB code companion to Emitter Detection and Geolocation for Electronic Warfare (Artech House, 2019)

energy-consumption-in-ev icon energy-consumption-in-ev

Driving Range Prediction and Energy Consumption Rate Deviation Classification using ML Models based on Real Electric Vehicle Data

etdataset icon etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

explaining_prototypes icon explaining_prototypes

This repository contains code for explaining prototypes learned by ProtoPNet, by quantifying the influence of color hue, shape, texture, contrast and saturation in a prototype

fast-mrmr icon fast-mrmr

An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).

fgsd icon fgsd

Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).

firebase-esp-client icon firebase-esp-client

🔥Firebase Arduino Client Library for ESP8266 and ESP32. The complete, fast, secured and reliable Firebase Arduino client library that supports RTDB, Cloud Firestore, Firebase and Google Cloud Storage, Cloud Messaging and Cloud Functions for Firebase.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.