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Nonparametric quantile regression methods for forecasting of energy and parking data.
Neural relational inference for interacting systems - pytorch
Jupyter Notebook (Octave Kernel) alternatives for Numerical Methods laboratories @ UPB
Final project for Causal Inference at NYU Steinhardt, Fall 2020. Analysis of impact of the DREAM-SHSI program, which funds a free Saturday and summer academic program to prepare 7th graders in NYC public schools to take the Specialized High School Admissions Test in the 8th grade. Data are simulated based on real student-level data provided by the Research Alliance for NYC Schools.
A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.
A project using Deep Q Network (DQN) to train an intelligent agent to maximize the taxi drivers' profit using NYC data
Analyse the Uber taxi data along with the major matches of the baseball team and explore their relationships
Processing for a NYC traffic dataset
Radar and Lidar Sensor Fusion using Simple, Extended, and Unscented Kalman Filter for Object Tracking and State Prediction.
Scripts and notebooks to benchmark one-class active learning strategies.
a QGIS-plugin for matching a trajectory with a network using a Hidden Markov Model and Viterbi algorithm
Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)
A Julia package for One-Class Active Learning.
Unsupervised ML algorithm for predictive modeling and time-series analysis
This repository contains implementations of online utility learning and incentive design applied to a Bertrand Nash competition.
Data and resources for FOIS2020 paper: Ontology-Driven Cross-Domain Transfer Learning - https://fois2020.inf.unibz.it/
OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.
Julia simulation environment for Globally optimal base station clustering in interference alignment-based multicell networks (IEEE SPL 2016).
Optimization algorithms for compresive sensing
Dockerized Kafka pub-sub service which collects the Augmented diffs from OpenStreetMap and publishes them in JSON format.
Code for "Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans" https://arxiv.org/abs/2001.00735
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
PARL A high-performance distributed training framework for Reinforcement Learning
A particle filter to localize a car using LIDAR data
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.