fusion-research Goto Github PK
Type: User
Type: User
Repo for the paper 'Forecasting Pedestrian Trajectory with Machine-Annotated Training Data'. IV 2019
Predicting future hospital mortality using only the first 6 hours of admission to the ICU
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.
MATLAB code for Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities (IEEE TSMC-S 2021)
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
A doppler radar for measuring the speed of a vehicle for the Tufts Radar Engineering Class
Implementation of the Expectation-Maximization Algorithm for a Mixture of Gaussians for the wine data set from the UCI repository.
MATLAB code companion to Emitter Detection and Geolocation for Electronic Warfare (Artech House, 2019)
Software release for "Enabling Robust State Estimation through Measurement Error Covariance Adaptation"
Deep learning model for power management in wireless sensor networks
Driving Range Prediction and Energy Consumption Rate Deviation Classification using ML Models based on Real Electric Vehicle Data
Code, data, and tutorials for "Sense organ control in moths to moles is a gamble on information through motion"
Vehicle State Estimation using Error-State Extended Kalman Filter
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Simulations codes for IEEE Transactions on Cybernetics
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
A python toolbox for extended target tracking
Tensorflow implementation of Unsupervised learning of object landmarks by factorized spatial embeddings
An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
Code Repository for the online course Feature Engineering for Machine Learning
Code Repository for the online course Feature Selection for Machine Learning
Feature engineering package with sklearn like functionality
code for the paper "Few-Shot Regression via Learning Sparsifying Basis Functions
小样本时序预测-以工业数据为例
Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
Programming Fiona in Python to convert geospatial file formats, like Shapefile to GeoPackage.
Machine Learning Techniques for Fire Outbreak Detection in WSN (Wireless Sensor Networks)
🔥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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.