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Felix's Projects

dbnet icon dbnet

DBNet: A Large-Scale Dataset for Driving Behavior Learning

decima-sim icon decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

deepnf icon deepnf

Distributed NFV scheduling framework for senior design

deepsimulator icon deepsimulator

The first deep learning based Nanopore simulator which can simulate the process of Nanopore sequencing.

deeptake icon deeptake

DeepTake framework configurations, implementation details and source code

detectron icon detectron

Multi-path neural network implementation ("Real-Time Object Detection System with Multi-Path Neural Networks" in RTAS 2020)

dgp-irl icon dgp-irl

Deep Gaussian Process for Inverse Reinforcement Learning

diagrams icon diagrams

Diagrams using different tools, e.g., gnuplot

dirl icon dirl

Code for experiments in the paper: "Compositional Reinforcement Learning from Logical Specifications", Kishor Jothimurugan, Suguman Bansal, Osbert Bastani and Rajeev Alur. In NeurIPS 2021.

discosim icon discosim

Dispersed Computing Simulator (DisCoSim)

distiller icon distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

drills icon drills

DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization

drl icon drl

Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning

droo icon droo

A Deep Reinforcement Learning Approach for Online Offloading in Wireless Powered Mobile Edge Computing Networks

drupe icon drupe

Network profiler and resource profiler for dispersed computing -- alpha release

dynmapnocsim icon dynmapnocsim

A dynamic mapping SIMULATOR for network on chip based MPSoC

e2e-res icon e2e-res

Designing Efficient End-To-End Resource Reservations for Distributed Embedded Systems

ecrad icon ecrad

ECMWF atmospheric radiation scheme

ecrts-2020-ae icon ecrts-2020-ae

Artifact evaluation code for the paper "Modeling and Analysis of Bus Contention for Hardware Accelerators in FPGA SoCs"

efficient-knapsack-for-avr-tasks-rtss2018 icon efficient-knapsack-for-avr-tasks-rtss2018

This repository contains the files and documentation required for evaluation of the paper "An Efficient Knapsack-Based Approach for Calculating the Worst-Case Demand of AVR Tasks by Bijinemula et al."

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