Yang's repositories
mobilenetv3
mobilenetv3 with pytorch，provide pre-train model
OpenCL_Xilinx-Intel_HeteroCL
This is a repo which contains some details about how to use OpenCL backend (Xilinx/Intel).
AWS_Heterocl
This is a sample for HeteroCL about DigitRec
Intel_s10_mx_fpga
This is the sample test for HeteroCL on Intel S10 MX FPGA
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
UAV-LPSODet
Low power, Small Object Detection for Unmanned Aerial Vehicle.
OpenCL-Learning
This is a repo for OpenCL learning notes.
Cplusplus_Learning
These are some simple concepts in my C++ learning.
ConfigurationFiles
configuration files, such as repo (download android source file)、.git-completion.bash(git autocomplete bash)
CSE_599W-Systems-for-ML
The assignment and notes for the http://dlsys.cs.washington.edu/
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
Framework_Learning
All of the learning step for popular deep learning framework: PyTorch, MXNet, TensorFlow.
nyc_house_prices
Using scikit-learn to predict at which price a given NYC property will sell.
gluon-tutorial
Gluon Tutorial for Deep Learning Researchers && Engineers.
Posetrack_baseline_pytorch
This is a project which contains all of modules used in Posetrack and I will write a tutorial to teach everyone who knows little about deep learning and computer vision to construct an entire PoseTrack system.
mmdetection
Open MMLab Detection Toolbox
awesome-TVM
A curated list of awesome materials about TVM.
mmdet_stsn
My modification based on mmdet to implement stsn.
STSN-Object-Detection-in-Video-with-Spatiotemporal-Sampling-Networks
This is my re-implementation for the paper STSN.
deeplabv3plus-pytorch
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
human-pose-estimation.pytorch
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"