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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
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.
Repository containing notebooks of my posts on Medium
Papers, code and datasets about deep learning and multi-modal learning for video analysis
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSy…
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