royzon Goto Github PK

deep-sdm

deep-sdm is appied for face landmark.

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

deepfactors

Real-Time Probabilistic Dense Monocular SLAM Using Compact Code Representation

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

deepsort

2020中兴捧月阿尔法赛道决赛方案

deepsort-imm

Improve the Kalman-Filter in deepsort with IMM

deft

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

dehazer

design-patterns-cpp

C++ Design Patterns

design_patterns

图说设计模式

det3

This repo is a LiDAR-based 3D object detection code base. It provides some basic operations and methods for 3D object detection.

detectionstudio

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

detector-tensorrt-yolov5-linux

differentiable-particle-filters

Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

diou-darknet

Distance-IoU Loss into YOLO v3

diou_yolo_v3

:chart_with_upwards_trend::chart_with_upwards_trend::chart_with_upwards_trend:【口罩佩戴检测数据训练 | 开源口罩检测数据集和预训练模型】Train D/CIoU_YOLO_V3 by darknet for object detection

dive-into-dl-paddlepaddle

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PaddlePaddle实现。

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

dl-utils

Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)

docker-cuda-conda-python

docker-depth-learning

docker的深入了解与掌握

docker-learning

docker教程

dockerfile_dl_cv

dropblock-pytorch

Implementation of DropBlock in Pytorch

eagermot

Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

easyquant

ebdbnet

:exclamation: This is a read-only mirror of the CRAN R package repository. ebdbNet — Empirical Bayes Estimation of Dynamic Bayesian Networks. Homepage: http://github.com/andreamrau/ebdbNet

edge-ai-platform-tutorials

Tutorials for the Edge AI Platform