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mymuli's Projects

deecap icon deecap

Dynamic Early Exit for Image Captioning

deep-learning-interview-book icon deep-learning-interview-book

深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepmiml icon deepmiml

实现《 DeepMIML Network for multi-instance multi-label learning》

deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

deit icon deit

Official DeiT repository

delight icon delight

DeLighT: Very Deep and Light-Weight Transformers

denseclip icon denseclip

An unofficial implementation for paper "DenseCLIP: Extract Free Dense Labels from CLIP"

detectron icon detectron

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

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

detr icon detr

End-to-End Object Detection with Transformers

dgc icon dgc

Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgmn2 icon dgmn2

[TPAMI 2022 & CVPR 2020 Oral] Dynamic Graph Message Passing Networks

dialogue_gcn icon dialogue_gcn

Pytorch implementation to paper "DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation".

dialogxl icon dialogxl

The PyTorch implementaion for AAAI-2021 accepted paper DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition.

disalign icon disalign

Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)

discobox icon discobox

The Official PyTorch Implementation of DiscoBox.

distributionbalancedloss icon distributionbalancedloss

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

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