Pinned Repositories
AI-intro-hw
ZJU 人工智能导论课 作业
cpython
The Python programming language
deep-hs-prior
Single Hyperspectral Image Denoising, Inpainting, Super-Resolution
DeepRec
DeepRec is a recommendation engine based on TensorFlow.
genetic-Image-segmentation
人工智能导论课 期末设计 - 基于遗传算法的图像分割
HSI-Two-Stage-Learning
Y. Qian, H. Zhu, L. Chen and J. Zhou, "Hyperspectral Image Restoration With Self-Supervised Learning: A Two-Stage Training Approach," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022.
hsid-cnn-pytorch
PyTorch version of HSID-CNN. Original paper: Q. Yuan, Q. Zhang, J. Li, H. Shen, and L. Zhang, "Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network", IEEE TGRS, 2019.
OpenBLAS
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
os-hdu
杭电 操作系统 实验
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
imzhuhl's Repositories
imzhuhl/AI-intro-hw
ZJU 人工智能导论课 作业
imzhuhl/hsid-cnn-pytorch
PyTorch version of HSID-CNN. Original paper: Q. Yuan, Q. Zhang, J. Li, H. Shen, and L. Zhang, "Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network", IEEE TGRS, 2019.
imzhuhl/HSI-Two-Stage-Learning
Y. Qian, H. Zhu, L. Chen and J. Zhou, "Hyperspectral Image Restoration With Self-Supervised Learning: A Two-Stage Training Approach," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022.
imzhuhl/deep-hs-prior
Single Hyperspectral Image Denoising, Inpainting, Super-Resolution
imzhuhl/DeepRec
DeepRec is a recommendation engine based on TensorFlow.
imzhuhl/cpython
The Python programming language
imzhuhl/ml_workloads
imzhuhl/OpenBLAS
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
imzhuhl/opt-repo
Examples of how to optimize scientific computing
imzhuhl/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
imzhuhl/algorithm-notes
数据结构, 算法, 习题
imzhuhl/backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
imzhuhl/basecode-learning
imzhuhl/BladeDISC
BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
imzhuhl/cmake-test-proj
a test project using cmake
imzhuhl/code-data-share-for-python
imzhuhl/ComputeLibrary
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
imzhuhl/dotfile
imzhuhl/intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
imzhuhl/leetcode-problem
leetcode 题目练习
imzhuhl/ML-GCN
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
imzhuhl/mystl
learn to implement simple C++ STL and Algorithm
imzhuhl/network-experiment
Manually implement some neural network models using PyTorch
imzhuhl/os-learning
os learning
imzhuhl/Rules
imzhuhl/scikit-build-sample-projects
Sample projects demonstrating use of scikit-build
imzhuhl/serving
A flexible, high-performance serving system for machine learning models
imzhuhl/simple-scheme-interpreter
A simple scheme interpreter or compiler for studying the essential of programming language
imzhuhl/tensorflow
An Open Source Machine Learning Framework for Everyone
imzhuhl/yitian-ecs-getting-started