Double_V's repositories
DBNet.pytorch
A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
PaddleClas
A treasure chest for image classification powered by PaddlePaddle
triton
Development repository for the Triton language and compiler
firstrepo
abc
oneDNN
oneAPI Deep Neural Network Library (oneDNN)
DocBank
DocBank: A Benchmark Dataset for Document Layout Analysis
layout-parser
A Python Library for Document Layout Understanding
Ad-papers
Papers on Computational Advertising
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
CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
bezier_curve_text_spotting
A PyTorch implementation of "ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network" (CVPR 2020 oral)
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥
FluidDoc
Documentations for PaddlePaddle
DALI
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
interview_internal_reference
2020年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods.
Paddle-Lite
Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎）
models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
Text-Image-Augmentation-python
Python implementation of Text-Image-Augmentation
Serving
A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）
hapi
hapi is a High-level API that supports both static and dynamic execution modes (still under development)
PaddleHub
Toolkit For Pre-Trained Model Application of PaddlePaddle（『飞桨』预训练模型应用工具 ）
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.