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Interview-for-Algorithm-Engineer

【三年面试五年模拟】算法工程师秘籍。AIGC、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、图像处理、元宇宙、SLAM等AI行业面试笔试经验分享

A2N

Super Resolution, Pytorch

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

SCNet

[MIR 24] Fully 1x1 Convolutional Network for Lightweight Image Super-Resolution

CAMixerSR

CAMixerSR: Only Details Need More “Attention” (CVPR 2024)

Waifu2x-Extension-GUI

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.

Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

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

Collection of popular and reproducible image denoising works.

Awesome-Low-Level-Vision-Research-Groups

A Collection of Low Level Vision Research Groups

yolov10

YOLOv10: Real-Time End-to-End Object Detection

VIFB

Visible and Infrared Image Fusion Benchmark

FusionMamba

FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba

ImageQualityEnhancement

ImageRegistration

A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.

LoFTR

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

onnx_runtime_cpp

small c++ library to quickly deploy models using onnxruntime

cube-studio

cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，多租户，大数据平台对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU，边缘计算，serverless，标注平台，自动化标注，数据集管理，大模型微调，vllm大模型推理，llmops，私有知识库，AI模型应用商店，支持模型一键开发/推理/微调，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

tensorRT_Pro

C++ library based on tensorrt integration

CUDA-code

yolov8_tensorrt

pt-->wts-->engine

tensorRT_Pro-YOLOv8

This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

TensorRT-Alpha

🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎

X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

use-ncnn

NCNN的代码学习，各种小Demo。

llama

Inference code for Llama models

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

edgeyolo

an edge-real-time anchor-free object detector with decent performance

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image