nantsk Goto Github PK
Type: User
Type: User
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
프론트엔드 개발 공부를 할 때 흔히 만들게 되는 투두리스트
An OAuth2 library for Google Apps Script.
Apps Script samples for Google Workspace products.
A blog engine built with Flask.
웹사이트(게시판) by python, flask
ETH Price Prediction Maximum 500 Days Using LSTM and can Show on Website using Flask
Reverse engineered ChatGPT API
Analysis of CSV data using Chart.js
Apache ECharts is a powerful, interactive charting and data visualization library for browser
A dead simple CRUD app using Bootstrap and Firebase
Boilerplate template for a Python Flask application with Flask-SQLAlchemy, Flask-WTF, Fabric, Coverage, and Bootstrap
Flask Examples
An example Flask app using an SQLite database
flask와 sqlite3로 만든 게시판
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
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
An open source implementation of OpenAI's ChatGPT Code interpreter
Highcharts JS, the JavaScript charting framework
Example of filtering highcharts and datatables
Linear and non-linear regression support for highcharts
Highcharts XY scatter chart template with CSV data
sample Highcharts with data in Google Sheets
Jquery datatable keytable extension to be able to update cell values real-time.
LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.
Knowledge base Q&A program using LangChain for retrieval-augmented prompting and PGVector as vector store.
Designed and developed a web application which would read data from a .csv file and perform various operations such as, adding a new student, searching for a student details by the student ID and display all the students. Technology stack : ➢ Frontend - HTML5, CSS, JavaScript ➢ Backend - Python3, flask, jinja. ➢ Database - CSV file. ➢ Libraries - pandas, csv. There are few files which would work combinely to perform the operations in this case study. Below is the list of those files: A) Front end - ➢ index.html ➢ add-student.html ➢ search-student.html ➢ display-student.html B) Backend ➢ main.py c) Database ➢ students.csv
Moonbeam Analytics Dashboard
Tools related to Moonbeam blockchains
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.