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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.

awesome-public-datasets

A topic-centric list of HQ open datasets.

book_python_gis

Source codes in Python for book 'Python in Open Source GIS'.

credit-card-fraud-detection

Using KNN Technique, train the model then predict whether a credit-card transaction is Fraud or not.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningbook

This repository is used to publish source code of my deep learning book

deeptemporalclustering

:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model

einet

Uncertainty and causal emergence in complex networks

frauddetection

在传统贸易企业中，销售人员经常会执行一些欺诈交易以便带来个人收益，实验利用最大似然估计的神经网络方案，用于检测当前交易的欺诈嫌疑，达到95.1%准确率，在此个案上，大大优于贝叶斯神经网络的方案。In traditional trading companies, salespeople often perform some fraudulent transactions in order to bring personal gains. Experiments use the neural network scheme of maximum likelihood estimation to detect fraud suspects in current transactions, achieving 95.1% accuracy. , greatly better than the Bayesian neural network scheme.

friends-recommender-in-social-network

Friends Recommendation and Link Prediction in Social Netowork

hello-world

just another repository

higher-order-organization-julia

Jupyter notebooks for examples in the paper "Higher-order organization of complex networks".

kaggle-titanic

kaggle kernel for Titanic dataset

machine-learning

用python语言实现机器学习，让学习变得更简单！

machinelearning

some notes about the basic knowledge of machine learning and data mining

multitask-learning

Awesome Multitask Learning Resources

network-science-with-python-and-networkx-quick-start-guide

Network Science with Python and NetworkX Quick Start Guide, published by Packt

nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

npns

Nugget Proposal Networks for Chinese Event Detection

plmpapers

Must-read Papers on pre-trained language models.

pyspark_learning

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

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

regression-prediction-algorithms

使用支持向量机、弹性网络、随机森林、LSTM、SARIMA等多种算法进行时间序列的回归预测，除此以外还采取了多种组合方法对以上算法输出的结果进行组合预测。Support vector machine, elastic network, random forest, LSTM, SARIMA and other algorithms are used for regression prediction of time series. In addition, a variety of combination methods are used to forecast the output of the above algorithms.

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

stock-return-prediction-using-knn-svm-guassian-process-adaboost-tree-regression-and-qda

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

timeseriesxai

Code used in the paper "Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series"

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

weibospider_sentimentanalysis

借助Python抓取微博数据，并对抓取的数据进行情绪分析