jnulzl's repositories
PRNet-Train
PRNet train code
caffe_plus
caffe plus
CSE-351-hwswinterface-002
CSE 351: The Hardware/Software Interface
Pytorch_Retinaface_To_Caffe
convert mobilenet0.25_Final.pth to caffemodel in [Pytorch_Retinaface](https://github.com/biubug6/Pytorch_Retinaface)
ArmNeonOptimization
Arm neon optimization practice
awesome-parallel-computing
A curated list of awesome parallel computing resources
caffemodel2pytorch
Convert Caffe models to PyTorch
cPlusPlus-object-Model
这是王健伟老师的c++对象模型探索学习笔记，如有错误请联系我。204016266@qq.com
cPlusPlus98111417
王健伟c++入门到精通教程 c++11/14/17-王健伟学习笔记，如有错误请联系我204016266@qq.com
CppCon2019
Slides and other materials from CppCon 2019
CPython-Internals
Dive into CPython internals, trying to illustrate every detail of CPython implementation
efficient_quadtree
Poisson blending job used quadtree to accelerate.
face_landmark
A simple method for face alignment based on wingloss and mutitask learning :)
gdb-tips
Collect every gdb tips
Heterogeneous-Computing-with-OpenCL-2.0
:book: 作为对《Heterogeneous Computing with OpenCL 2.0》英文版的中文翻译。
jetbrains-agent-latest
Intellij IDEA License Activation
Linear_Algebra_With_Python
Lecture Notes for Linear Algebra Featuring Python
ncnn-with-cuda
Tencent NCNN with added CUDA support
Peppa_Pig_Face_Engine
A simple face detect and alignment method, which is easy and stable.
PRML
Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
PythonKits
some useful python tool scripts
PyTorch-ONNX-TFLite
Conversion of PyTorch Models into TFLite
recommended-books
计算机经典书籍推荐 部分书籍提供PDF下载
Reverse-Engineering-Tutorial
A comprehensive reverse engineering tutorial covering x86, x64, 32-bit ARM & 64-bit ARM architectures.
scann-cmake
ScaNN (Scalable Nearest Neighbors, a method for efficient vector similarity search at scale) build with CMake
Smart_Construction
Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程！！！😆🚀
VisDrone-Dataset
The dataset for drone based detection and tracking is released, including both image/video, and annotations.