jiankangren

-REAL-TIME-VEHICLE-CLASSIFICATION-AND-LOCALIZATION-USING-EDGE-COMPUTING-

The project aims to develop a traffic monitoring system using convolution neural network. We had modified existing tiny YOLO model for Indian vehicle such as auto rickshaw, bicycle, motorbikes etc. To do this, first we developed a data set of these vehicles then we retrained the existing tiny YOLO model. Moreover, with raspberry Pi we have developed a prototype for edge device which can count incoming and outgoing traffic from a particular point. There are various applications of such devices for example, it can be used as traffic monitoring system, surveillance, traffic load prediction. This is a fully functional independent device. All the decision has been done locally, this make this device highly useful for IoTs.

2018-DAC-System-Design-Contest

4ceedframework

Real-time Acquisition and Analysis Framework for Materials-related Cyber-Physical Environments

Abnormal-Behavior-Detection-Based-On-Optical-Flow-Features

CSC2515-University of Toronto. This project applied computer vision and mechine learning methods aimed to detect abnormal behaved object in crowd, by Hanwen Liang and Haohan Li.

abstract-value-iteration

Code for experiments in the paper "Abstract Value Iteration for Hierarchical Reinforcement Learning" (https://arxiv.org/abs/2010.15638)

CL-Embedding-CNN

Character-level Embedding with Convolutional Neural Network for Malicious Web Request Detection

Hierarchical-Fuzzy-Tree

Software: The Hierarchical Fuzzy Inference Tree Software Toolbox is a function approximation and feature selection tool that uses genetic programming for constructing tree like structure to construct an adaptive multi-layer perceptron. This standalone software toolbox solves prediction problems. The developed algorithm performs multiobjective in which it adaptively creates a simple models with high generalization ability.

online-mec

Validation for an online resource allocation algorithm for mobile edge computing

Quantum_Computation

量子计算相关学习

Simulation_MEC

Implementing and applying offloading algorithms on simulation-based MEC.

jiankangren/abstract-value-iteration

Code for experiments in the paper "Abstract Value Iteration for Hierarchical Reinforcement Learning" (https://arxiv.org/abs/2010.15638)

jiankangren/AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

jiankangren/AIX360

Interpretability and explainability of data and machine learning models

jiankangren/ALADDIN-BiGAN-anomaly-detection

jiankangren/AMASE

This is the repository for Architectural Modeling and Analysis for Safety Engineering (AMASE).

jiankangren/ARCH-COMP2021

Friendly ARCH AINNCS Competition - Benchmark Description

jiankangren/AssemblyLine

A C library and binary for generating machine code of x86_64 assembly language and executing on the fly without invoking another compiler, assembler or linker.

jiankangren/autonomous_car_verification

jiankangren/cFE

The Core Flight System (cFS) Core Flight Executive (cFE)

jiankangren/cFS

The Core Flight System (cFS)

jiankangren/code2inv

Code2Inv: Learning Loop Invariants for Program Verification

jiankangren/decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

jiankangren/Energy-Minimized-Scheduling-of-Real-Time-Parallel-Workflows-on-Heterogeneous-Distributed-Computing-S

The code of paper Energy-Minimized Scheduling of Real-Time Parallel Workflows on Heterogeneous Distributed Computing Systems

jiankangren/EyerissF

An Eyeriss Chip (researched by MIT, a CNN accelerator) simulator and New DNN framework "Hive"

jiankangren/fault

A Python package for testing hardware (part of the magma ecosystem)

jiankangren/formal-methods-workbench

jiankangren/fprime

F' - A flight software and embedded systems framework

jiankangren/Law_Mining

法律数据挖掘

jiankangren/MEDIRL-EyeCar

jiankangren/PaperWriting

jiankangren/PINNs-based-MPC

We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approximate (partial) differential equations. PINNs are not suited for control tasks in their original form since they are not designed to handle variable contro

jiankangren/Race

Repository for the GRAIC synthesis competition

jiankangren/research-sched-tsn

MATLAB code for "Fixed-Priority Scheduling and Controller Co-Design for Time-Sensitive Network", ICCAD, 2020.

jiankangren/Ripes

A graphical processor simulator and assembly editor for the RISC-V ISA

jiankangren/RL-Scheduling

Implement job scheduling based on REINFORCE and Graph Embedding.

jiankangren/rt-ifttt

Simulation code used in "RT-IFTTT: Real-Time IoT Framework with Trigger Condition-aware Flexible Polling Intervals" (RTSS 2017)

jiankangren/Scenic

A compiler and scene generator for the Scenic scenario description language.

jiankangren/snakepit

Machine learning job scheduler

jiankangren/VerifAI

VerifAI is a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.

jiankangren/XPlaneConnect

The X-Plane Communications Toolbox is a research tool used to interact with the X-Plane flight simulator