Time Series Analyses and Machine Learning for Classifying Events prior to Fiber Cuts

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Prediction of path loss using satellite images and convoluted neural networks

LIDAR for communications

Camera based beam prediction

Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance

Implementation of the Learning Model Predictive Controller for autonomous racing

Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. …

A very simple Salesforce.com REST API client for Python

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communi…

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

Implementation of the paper "Deep Learning-Based Channel Estimation"

A Model Predictive Control (MPC) Python library based on the OSQP solver.

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

Point Cloud Library (PCL)

Repository containing notebooks of my posts on Medium

Papers, code and datasets about deep learning and multi-modal learning for video analysis

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

Simple Flask and Bokeh app to be deployed on Heroku

Simple implementation of CART algorithm to train decision trees

Implemenation of DDPG with numpy only (without Tensorflow)

Unscented Kalman filtering in Python and C++ for tracking and localization applications

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

Learning to Track: Online Multi-Object Tracking by Decision Making

Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.

Leetcode solutions organized by the problem categories