Skip to content
View Floral's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report Floral

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Starred repositories

Showing results

A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐

Python 344 34 Updated May 24, 2022

FSA: Fusing FlashAttention within a Single Systolic Array

Scala 161 17 Updated Apr 15, 2026

ucas智能计算系统实验分享

Python 35 Updated Mar 29, 2025

deep learning framework from scratch

Python 35 5 Updated Apr 18, 2022

【2024年新版】国科大 陈云霁 智能计算系统AICS实验代码

Python 611 54 Updated Jun 3, 2026

(CVPR 2026) Bilevel Layer-Positioning LoRA for Real Image Dehazing

Python 43 3 Updated Mar 12, 2026

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

Python 1,386 119 Updated May 27, 2026

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

C++ 787 196 Updated Dec 10, 2019

OpenMMLab Detection Toolbox and Benchmark

Python 32,757 9,826 Updated Aug 21, 2024

HybridNets: End-to-End Perception Network

Python 678 133 Updated Dec 1, 2023

You Only Look Once for Panopitic Driving Perception.(MIR2022)

Python 2,207 460 Updated Oct 20, 2023

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

Rust 194,027 109,950 Updated Jun 8, 2026

ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices

Python 266 45 Updated Apr 18, 2023

Physics-based Noise Modeling for Extreme Low-light Photography (CVPR 2020 Oral & TPAMI 2021)

Python 567 72 Updated Dec 9, 2024

An implementation for noise model estimation method of "A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising", CVPR 2020.

Python 25 4 Updated Apr 2, 2021

Physics-guided Noise Neural Proxy for Practical Low-light Raw Image Denoising

Python 37 2 Updated Feb 10, 2024

Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising

Python 81 6 Updated Jun 18, 2025

RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything

Jupyter Notebook 1,097 81 Updated Jun 14, 2024

Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes. CVPR 2020

Python 227 30 Updated May 30, 2024

AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

Jupyter Notebook 16,957 2,400 Updated Sep 3, 2025

A simple cycle accurate template model for ASIC/FPGA hardware design. Including a cycle accurate FIFO design example. More designs are coming.

C++ 17 Updated Sep 5, 2019

A simple tutorial on SystemC using NJU's DLCO experiments as examples

C++ 13 3 Updated Mar 30, 2025

💫 Toolkit to help you get started with Spec-Driven Development

Python 113,903 10,045 Updated Jun 18, 2026

Open, Modular, Deep Learning Accelerator

Scala 351 91 Updated Apr 10, 2024

Repository to host and maintain SCALE-Sim code

Python 482 163 Updated Feb 2, 2026

A machine learning accelerator core designed for energy-efficient AI at the edge.

Emacs Lisp 2,402 293 Updated Jun 17, 2026

Terminal-based CPU stress and monitoring utility

Python 5,030 177 Updated Mar 27, 2026

General CNN_Accelerator design.卷积神经网络加速器设计。在PYNQ-Z2、ZCU102 FPGA开发板上实现了卷积池化全连接层等硬件加速计算。

VHDL 97 9 Updated May 14, 2026

校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

C++ 3,441 368 Updated Jun 22, 2025
Next