KellyZhqy's Stars
ngageoint/MATLAB_SAR
A basic MATLAB library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.
ashida-lab/TSXreader
てらさーのよみこみ
adugnag/CV-deSpeckNet
This repo implements a complex-valued multi-stream fully convolutional network for PolSAR data despeckling.
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
XiaokangLei/darknet-nobn
darknet inference with no BN layer
MTLab/onnx2caffe
pytorch to caffe by onnx
anilknayak/quantization
Weight quantization
jakc4103/DFQ
PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
CAS-CLab/CNN-Inference-Engine-Quick-View
A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
eriklindernoren/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
lswzjuer/pytorch-quantity
An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)
jakc4103/piecewise-quantization
PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation
xindubawukong/DAC_SDC_2020_Yolov3_model
Yolov3 model for 2020 System Design Contest.
jiangwx/SkrSkr
The second place winner for DAC-SDC 2020
ruoyuwang79/yoloRT
DeepZS DAC-SDC 2019 program
jgoeders/dac_sdc_2020_designs
Designs for finalist teams of the DAC System Design Contest
AILearnerLi/DAC-SDC-2020-SEUer
heheda365/ultra_net
FPGA-based neural network inference project for 2020 DAC System Design Contest
pytorch/tutorials
PyTorch tutorials.
TomG008/SkyNet
jiangwx/SkrNet
Low power object detection on FPGA
jiangwx/DFQ
Data Free Quantization for Object Detection
SuryodayBasak/decimal-to-fixed-point
Code that converts a decimal number to fixed point based on the number of desired bits.
lucky-ing/yolo-voc
sunhao-seu/skynet_cpp
sunshineatnoon/Paper-Implementations
Use PyTorch to implement some classic frameworks
BVLC/caffe
Caffe: a fast open framework for deep learning.