Pinned Repositories
darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
homework0
homework1
homework2-MDPs
The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU
homework3-policy-gradient
The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU
homework4-Bi-Cycle-GAN
The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU
model-optimization
A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
Yolo-Fastest
:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
YOLO_Document
sun52525252's Repositories
sun52525252/homework1
sun52525252/homework4-Bi-Cycle-GAN
The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU
sun52525252/darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
sun52525252/homework0
sun52525252/homework2-MDPs
The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU
sun52525252/homework3-policy-gradient
The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU
sun52525252/model-optimization
A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
sun52525252/Yolo-Fastest
:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
sun52525252/YOLO_Document