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fusion-research's Projects

nri icon nri

Neural relational inference for interacting systems - pytorch

nyc-dream-shsi-simulation icon nyc-dream-shsi-simulation

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.

nyc-transport icon nyc-transport

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

nyc_taxi_driver_dqn icon nyc_taxi_driver_dqn

A project using Deep Q Network (DQN) to train an intelligent agent to maximize the taxi drivers' profit using NYC data

nyc_uber_dataanalysis icon nyc_uber_dataanalysis

Analyse the Uber taxi data along with the major matches of the baseball team and explore their relationships

ocal-evaluation icon ocal-evaluation

Scripts and notebooks to benchmark one-class active learning strategies.

offline-mapmatching icon offline-mapmatching

a QGIS-plugin for matching a trajectory with a network using a Hidden Markov Model and Viterbi algorithm

ontology-driven-tl icon ontology-driven-tl

Data and resources for FOIS2020 paper: Ontology-Driven Cross-Domain Transfer Learning - https://fois2020.inf.unibz.it/

openmas icon openmas

OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.

optimalbasestationclustering.jl icon optimalbasestationclustering.jl

Julia simulation environment for Globally optimal base station clustering in interference alignment-based multicell networks (IEEE SPL 2016).

osmstream icon osmstream

Dockerized Kafka pub-sub service which collects the Augmented diffs from OpenStreetMap and publishes them in JSON format.

p2t icon p2t

Code for "Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans" https://arxiv.org/abs/2001.00735

parl icon parl

PARL A high-performance distributed training framework for Reinforcement Learning

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