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cocoapi

COCO API - Dataset @ http://cocodataset.org/

compactsecondordernet

computer_graphics

华中科技大学《计算机图形学》MOOC课程实验 ——万琳老师

condconv-pytorch

Implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.

cs-notes

:books: Computer Science Learning Notes

cs131_release

Released assignments for the fall 2017 iteration of CS131.

cuda-by-example-source-code-for-the-book-s-examples-

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.

cv-basic

This repository records the codes and materials that cover basic computer vision topics

cvbase

Utils for computer vision research.

cvpods-1

Classification?Detection?Segmentation? Key-points?Self-supervise learning?3D?cvpods is all you need!

cyclemlp

[ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"

dcnv2

Deformable Convolutional Networks v2 with Pytorch

decouplesegnets

[ECCV-2020]: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

deep-high-resolution-net.pytorch

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep_learning_course

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，近30万字。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

deeplearning.ai-summary

This repository contains my personal notes and summaries on [DeepLearning.ai](deeplearning.ai) course. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearning.ai.solution

This repository contains the implementation of deep learning courses by Andrew ng on Coursera

deformable-detr

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

detectandtrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

detectron

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

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

detectron2

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

detr

End-to-End Object Detection with Transformers

dfn_seg

Implementation of Paper Learning a Discriminative Feature Network for Semantic Segmentation (CVPR2018)(face++)

dino

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

dpns

Dual Path Networks

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

efficientnet-pytorch

A PyTorch implementation of EfficientNet