guxukai's Projects
Resources for Multiple Object Tracking (MOT)
practice cpp data structure
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for Cloud and Edge. Including Vision, Text, Audio and Video 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization and multi-platform multi-framework support.
API docs for FastDeploy
test example for FastDeploy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
多假设目标跟踪/面向假设的多假设目标跟踪/HypothesisOriented Multi-Hypothesis Target Tracking / MHT/ HOMHT
A tracker based on joint probabilistic data association filtering.
KCF tracker by py3
Python implementation of KCF tracking algorithm
刷题练习记录
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.
This is some interpretation about the CN tracking algorithm from my point.
MDNet PyTorch implementation
:bar_chart: Benchmark multiple object trackers (MOT) in Python
Track oriented, multi target, multi hypothesis tracker
Simulator and analyzer for pyMHT
PyTorch Tutorial for Deep Learning Researchers
java socket server
Tensorflow prebuilt binary for Windows