Pinned Repositories
addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement
awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
awesome-sar
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
CDLab
Yet another repository for developing and benchmarking deep learning-based change detection methods.
chatgpt-prompt-engineering
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
dataHacker
code for dataHacker blog
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
CodeofHuang's Repositories
CodeofHuang/addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
CodeofHuang/awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement
CodeofHuang/awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
CodeofHuang/awesome-sar
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
CodeofHuang/CDLab
Yet another repository for developing and benchmarking deep learning-based change detection methods.
CodeofHuang/chatgpt-prompt-engineering
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
CodeofHuang/dataHacker
code for dataHacker blog
CodeofHuang/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
CodeofHuang/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
CodeofHuang/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
CodeofHuang/hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
CodeofHuang/latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
CodeofHuang/MATLAB_SAR
A basic MATLAB library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.
CodeofHuang/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
CodeofHuang/mmdetection
OpenMMLab Detection Toolbox and Benchmark
CodeofHuang/netron
Visualizer for neural network, deep learning, and machine learning models
CodeofHuang/nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
CodeofHuang/npy-matlab
Experimental code to read/write NumPy .NPY files in MATLAB
CodeofHuang/pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
CodeofHuang/Remote-Sensing-ChatGPT
CodeofHuang/robotics-toolbox-python
Robotics Toolbox for Python
CodeofHuang/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
CodeofHuang/six-library
Sensor Independent XML Library
CodeofHuang/SmaDS_SiamUnet
Model code for my dual-sensor change detection paper
CodeofHuang/software
Introduction to Synthetic Aperture Radar Using Python and MATLAB
CodeofHuang/ssqueezepy
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
CodeofHuang/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
CodeofHuang/TorchNN
Learn PyTorch for Deep Learning
CodeofHuang/tsd
Time Series Downloader for satellite images
CodeofHuang/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.