baimax321 Goto Github PK

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配电网负荷预测，BP神经网络，Cart决策树，GDBT，CatBoost

awesome-knowledge-graph

整理知识图谱相关学习资料

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

awesome-table-recognition

A curated list of resources dedicated to table recognition

c-primer-test

cluener2020

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

colossalai

Making big AI models cheaper, easier, and more scalable

demo-chinese-text-binary-classification-with-bert

detect-and-read-meters

This is the first released system towards complex meters` detection and recognition, which is implemented by computer vision techniques.

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

gobigger

Repo with large LFS files, this time with another go.mod to prune

google-interview-university

A complete daily plan for studying to become a Google software engineer.

hdegraph

Code for ACL 2019 paper "Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs"

idcard_ocr

身份证信息识别&&头像提取API

intro_ds_wy_course

《精通数据科学：从线性回归到深度学习》视频课程的配套资料

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

load-forecasting-algorithms

使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vector machine, BP neural network, GRU, LSTM) are used for power system load forecasting / power forecasting.

machine_learning_regression_model

线性回归、岭回归、多项式回归、决策树回归、Ada_Boost回归、GBDT回归、随机森林回归、nltk基于词袋模型的邮件分类

mrc-pytorch

some classic models+BERT implements in RACE and SQuAD dataset using Pytorch

netdisk-image-demoireing-rank7th

百度网盘AI大赛——图像处理挑战赛：文档图像摩尔纹消除第七名方案

nl2sql

Text2SQL 语义解析数据集、解决方案、paper资源整合项目

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-projects

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

opencv-picture-to-excel

使用python-opencv识别图片中的表格数据转换为csv

opencv-python-tutorial

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

parl

A high-performance distributed training framework for Reinforcement Learning

predict-the-rent-probability-of-a-room

机器学习预测模型，分别用逻辑回归，决策树，随机森林，神经网络，XGBOOST和支持向量机算法建模，交叉验证，并选出AUC最优的模型。特征工程优化后，AUC值达到0.8259

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch