sunw71

sunw71

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auairdataset

Python API and tools for the AU-AIR dataset

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data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

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awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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Car-Recognition

Car Recognition with Deep Learning

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Correlation-between-requirements-and-achievements

CCF BDCI 2019 “技术需求”与“技术成果”项目之间关联度计算模型 复赛B榜top1解决方案

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DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

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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。

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dockerlabs

Docker - Beginners | Intermediate | Advanced

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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imgaug

Image augmentation for machine learning experiments.

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machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

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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)

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opencv_tutorials

Opencv4.0 with python (English&中文), and will keep the update ! 👊

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OpenKS

OpenKS - 领域可泛化的知识学习与计算引擎

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PaddleClas

A treasure chest for image classification powered by PaddlePaddle

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PaddleDetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

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PaddleNLP

An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.

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PARL

PARL A high-performance distributed training framework for Reinforcement Learning

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pytorch-Deep-Learning-Minicourse

Deep Learning with PyTorch

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PyTorch-Deep-Learning-Template

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

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pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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RocketQA

🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.

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sirst

A dataset constructed for single-frame infrared small target detection

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Stage

工程与学术笔记

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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TankRecognize

image classification case study

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