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advancedeast

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

autokeras

This is an automated machine learning (AutoML) package.

awesome-cheatsheets

超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

baselines-modified

code

Source Code for Go In Action examples

create-dataset-for-tensorflow

create yourself dataset for tensorflow

detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

east_icpr

Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE

efficientdet

unofficial EffcientDet implemented by mmdetection

fastai

The fast.ai deep learning library, lessons, and tutorials

focal_loss_paddle

A Paddle Implementation of Focal Loss

ganhacks

starter from "How to Train a GAN?" at NIPS2016

google-landmark-retrieval-challenge

image-text-localization-recognition

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源汇总

imgaug

Image augmentation for machine learning experiments.

kaggle-google-landmark-retrieval-challenge

17th place solution in "Google Landmark Retrieval Challenge"

keras-nasnet

"NASNet" models in Keras 2.0+ with weights

landmark-recognition-challenge

landmark-retrieval-challenge-test

lihang-code

《统计学习方法》的代码实现

lkh_tsp

A set of tools to solve TSP problems using the LKH solver

lucid

A collection of infrastructure and tools for research in neural network interpretability.

maddpg

magic_init

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

manifold-diffusion

Diffusion on manifolds for image retrieval