yijingyidong Goto Github PK

40-algorithms-every-programmer-should-know

40 Algorithms Every Programmer Should Know, published by Packt

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ad-papers

Papers on Computational Advertising

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合

awesome-trustworthy-gnns

awesome_time_series_in_python

This curated list contains python packages for time series analysis

causalpy

A Python package for causal inference in quasi-experimental settings

cyber-attack-prediction

Modern water distribution systems rely on computers, sensors and actuators for both monitoring and operational purposes. This combination of physical processes and embedded systems—cyber-physical systems, in short—improves the level of service of water distribution networks but exposes them to the potential threats of cyber attacks. We will be using statistical models to attempt to detect cyber attacks.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

d3rlpy

An offline deep reinforcement learning library

data-engineering-with-python

Data Engineering with Python, published by Packt

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-text-generator

This is a little neural net that I created to better study and understand deep learning

deep-learning-with-pytorch

Deep Learning with PyTorch, published by Packt

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

demo_inpe_covid

This repo contains code and corpora for the twitter robot-journalists @DaMataNews, @DaMataReporter and @CoronaReporter described at the INLG 2020 paper entitled "DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation" and at the ENIAC 2020 paper entitled "Towards Fully Automated News Reporting in Brazilian Portuguese".

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

email-spam-classification-using-svm

The uploaded codes help to classify emails into spam and non spam classes by using Support Vector Machine classifier.

essaykiller_v2

基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化

fake_news_detection

Fake News Detection in Python

fakenews

Fake news detection using Deep Learning

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

finbert

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

gnn_for_ehr

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

gs-quant

Python toolkit for quantitative finance