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a-new-framework

automatic-mini-car

智能小车

awesome-ai-cheatsheets

AI与数据科学各类工具库速查表与参考代码

boundary_aware_transformer

cheatsheets-ai

AI与数据科学各类工具库速查表与参考代码

csharpwpfchatgpt

C# WPF ChatGPT API (GPT-3.5 Turbo) app

deep-learning-approach-for-surface-defect-detection

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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

deepmoon

Convolutional neural network code for extracting Lunar craters from Digital Elevation Maps (DEMs).

detectron

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

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

detectron2_instance_segmentation_demo

How to train Detectron2 with Custom COCO Datasets | DLology

detectron2_instance_segmentation_demo02

detectron2_instance_segmentation_demo

digitaltwinscreen

数字孪生可视化3d建模大屏，echarts,vue,cezium

flac3dtools

操作Flac3D的工具集。比如将Hypermesh模型导入到Flac3D

fnsync

传输文件--Mirror of https://gitee.com/holmium/fnsync

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

ghidra

Ghidra is a software reverse engineering (SRE) framework

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

labelme2datasets

用于将LabelMe标注好的数据转换为VOC格式和COCO格式的数据集。

landslidenet

location-refining-neural-network

Location-Refining neural network

luyao.toolkit

LuYao.Toolkit 路遥工具箱

manim

Animation engine for explanatory math videos

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mmsegmentation_tutorials

Jupyter notebook tutorials for MMSegmentation