malenie's Stars
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Tianxiaomo/pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
TRI-ML/DDAD
Dense Depth for Autonomous Driving (DDAD) dataset.
hq450/fancyss
fancyss is a project providing tools to across the GFW on asuswrt/merlin based router.
joshwardell/model3dbc
DBC file for Tesla Model 3 CAN messages
jikexueyuanwiki/tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
malenie/RaySAR
RaySAR is a 3D synthetic aperture radar (SAR) simulator which enables to generate SAR image layers related to detailed 3D object models. Moreover, it enables one to localize the 3D positions and surface intersection points related to reflected radar signals. In particular, RaySAR helps to understand the nature of signal multiple reflections at man-made objects (e.g. building structures) or artificial shapes. Scene models with different levels of detail can be processed - from digital surface models (DSMs) to high-end 3D structures - which can be defined in relative or absolute world coordinates. RaySAR can be run on Windows / Linux and is based on an adapted version of the open-source ray tracer POV-Ray.
StefanJAuer/RaySAR
RaySAR is a 3D synthetic aperture radar (SAR) simulator which enables to generate SAR image layers related to detailed 3D object models. Moreover, it enables one to localize the 3D positions and surface intersection points related to reflected radar signals. In particular, RaySAR helps to understand the nature of signal multiple reflections at man-made objects (e.g. building structures) or artificial shapes. Scene models with different levels of detail can be processed - from digital surface models (DSMs) to high-end 3D structures - which can be defined in relative or absolute world coordinates. RaySAR can be run on Windows / Linux and is based on an adapted version of the open-source ray tracer POV-Ray.