mttsky Goto Github PK

adashare

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

aiinterview

算法工程师面试题整理

aspp-centernet

Road object detection bsaed on CenterNet

attention-network

PyTorch Implementation for Global and Local Attention Network

autocolorize

Automatic colorizaton of grayscale images using Deep Learning

awesome-algorithm-books

📚 awesome algorithm books I've collected 【不定期更新】 搜集整理的算法书籍（经典算法、ML/DL算法、面试算法、比赛算法等）

awesome-cvpr-paper

CVPR 论文收集，包含但不限于2021、2020、2019、2018、2017文章

awesome-multi-task-learning

A list of multi-task learning papers and projects.

awesome-multi-task-learning-1

2021 up-to-date list of papers on Multi-Task Learning (MTL), mainly for Computer Vision.

awesome_lightweight_networks

MobileNetV1-V2，MobileNeXt，GhostNet，AdderNet，ShuffleNetV1-V2，Mobile+ViT etc. ⭐⭐⭐⭐⭐

bevdet

Official code base of the BEVDet series .

book

深度学习和机器学习相关书籍（仅供非商业用途或交流学习使用）

caffe

Ristretto: Caffe-based approximation of convolutional neural networks.

caffe-hrnet

caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet-fpn

a multi-scale implementation of CenterNet

code

面试高频算法题总结，个人博客

cs_review

面试常见问题汇总

curseofdimensionality

维度灾难-通过Python理解高维空间欧氏距离与余弦相似度失效

cv-papers

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

cvpr-2021-papers

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

cvpr_2021_papers

CVPR2021最新论文汇总，主要包括：Transformer, NAS，模型压缩，模型评估，图像分类，检测，分割，跟踪，GAN，超分辨率，图像恢复，去雨，去雾，去模糊，去噪，重建等等

darknet

Convolutional Neural Networks

darknet_alexeyab

测mAP；训练

deep_learning_object_detection

A paper list of object detection using deep learning.

deepiqa

NR and FR IQA models based on Deep Convolutional Neural Networks

deeprec

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.