zhaozz's starred repositories

developer2gwy

公务员从入门到上岸,最佳程序员公考实践教程

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Learn-CUDA-Programming

Learn CUDA Programming, published by Packt

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cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

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lectures

Material for cuda-mode lectures

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how-to-optim-algorithm-in-cuda

how to optimize some algorithm in cuda.

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IART

[CVPR 2024 Highlight] Enhancing Video Super-Resolution via Implicit Resampling-based Alignment.

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zhaozz-lab.github.io

Minima is a one-size-fits-all Jekyll theme for writers.

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bilarf

Code Release for "Bilateral Guided Radiance Field Processing"

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TC-MoA

Task-Customized Mixture of Adapters for General Image Fusion (CVPR 2024)

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awesome-mixture-of-experts

A collection of AWESOME things about mixture-of-experts

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gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

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luxpy

Python toolbox for lighting and color science

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colour

Colour Science for Python

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camera_calibration

Spectral and radiometric calibration of consumer cameras (SPECTACLE).

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deghosting-hdr

Deghosting algorithm comparison of High Dynamic Range Imaging with motions

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gpu-camera-sample

Image processing software on GPU (Windows, Linux, ARM) for real time machine vision camera applications. Performance benchmarks and Glass-to-Glass time measurements. MIPI CSI cameras support. RAW2RGB processing on CUDA with 16-bit ISP. Software for Jetson.

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ChatGPT

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

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lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

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OpenDMD

Open source implementation and models of One-step Diffusion with Distribution Matching Distillation

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reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

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HDR-ISP

An ISP Pipeline For HDR CMOS Image Sensor

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Mind-Expanding-Books

:books: Find your next book to read!

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LED

[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model

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stock-analysis

Simple to use interfaces for basic technical analysis of stocks.

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IMDN

Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)

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mit-18.06-linalg-notes

MIT 18.06 线性代数笔记

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