woaichipinngguo

woaichipinngguo's Stars

• datawhalechina/self-llm

  《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程

  Language:Jupyter Notebook9.8k1.1k

• doggy8088/Learn-Git-in-30-days

  這是 Will 保哥在 2013 第 6 屆 iT 邦幫忙鐵人賽年度大獎的得獎著作【30 天精通 Git 版本控管】，歡迎大家 fork 我，如果有看見任何文字勘誤，也歡迎利用 pull request 來通知我修正，謝謝！

  4k2k

• holistic-3d/awesome-holistic-3d

  A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision

  61889

• zijundeng/pytorch-semantic-segmentation

  PyTorch for Semantic Segmentation

  Language:Python1.7k393

• irfanICMLL/structure_knowledge_distillation

  The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

  Language:Python708103

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.8k4k

• murari023/awesome-background-subtraction

  A curated list of background subtraction related papers and resources

  51285

• Kaixhin/FCN-semantic-segmentation

  Fully convolutional networks for semantic segmentation

  Language:Python18851

• MSiam/TFSegmentation

  RTSeg: Real-time Semantic Segmentation Comparative Study

  Language:Python596168

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.5k2.5k

• ranihorev/arxiv-network-graph

  Arxiv's ML papers network graph and browser

  Language:Python7920

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14.3k1.6k

• Swall0w/torchstat

  Model analyzer in PyTorch

  Language:Python1.5k142

• floodsung/LearningToCompare_FSL

  PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

  Language:Python1.1k267

• DeqianBai/Hands-on-Machine-Learning

  A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

  Language:Jupyter Notebook1.5k437

• masa-su/pixyz

  A library for developing deep generative models in a more concise, intuitive and extendable way

  Language:Jupyter Notebook49141

• deepgenerativemodels/notes

  Course notes

  Language:CSS631132

• WenDesi/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

  Language:Python5.7k2k

• zihan-z/vpdet_tmm17

  Dominant Vanishing Point Detection in Natural Scenes

  Language:Matlab2911

• jponttuset/mcg

  Multiscale Combinatorial Grouping - Object Proposals and Segmentation

  Language:MATLAB305139

• tangzhenyu/SemanticSegmentation_DL

  Resources of semantic segmantation based on Deep Learning model

  Language:Jupyter Notebook1.1k316

• yaringal/multi-task-learning-example

  A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

  Language:Jupyter Notebook844207

• meteorshowers/hed

  pytorch code for Holistically-Nested Edge Detection

  Language:Python10520

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python9.3k2.5k

• fengziyue/Lane-Detection

  My first Deep-Learning project, CNN-based Lane detection.

  Language:Python135

• zziz/pwc

  This repository is no longer maintained.

  15.4k2.5k

• hoya012/deep_learning_object_detection

  A paper list of object detection using deep learning.

  Language:Python11.3k2.8k

• hoya012/awesome-anomaly-detection

  A curated list of awesome anomaly detection resources

  2.7k515

• pavlin-policar/openTSNE

  Extensible, parallel implementations of t-SNE

  Language:Python1.5k165

• jbohnslav/opencv_transforms

  OpenCV implementation of Torchvision's image augmentations

  Language:Python37746