Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Dash | 19,976 | 804 | 639 | 5 months ago | 174 | November 28, 2023 | 815 | mit | Python | |
Data Apps & Dashboards for Python. No JavaScript Required. | ||||||||||
Awesome Learning Resources | 5,001 | a year ago | 5 | mit | ||||||
🔥 Awesome list of resources on Web Development. | ||||||||||
Machine Learning With Python | 2,980 | a year ago | 8 | bsd-2-clause | Jupyter Notebook | |||||
Practice and tutorial-style notebooks covering wide variety of machine learning techniques | ||||||||||
Supabase Py | 1,246 | 45 | 5 months ago | 36 | December 10, 2023 | 35 | mit | Python | ||
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue. | ||||||||||
Arxiv Sanity Lite | 707 | a year ago | 10 | mit | Python | |||||
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts. | ||||||||||
Machine_learning_and_deep_learning | 492 | 6 months ago | gpl-3.0 | Jupyter Notebook | ||||||
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis | 460 | 5 months ago | 21 | mit | Python | |||||
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall | ||||||||||
Issue Label Bot | 313 | 2 years ago | 2 | mit | SCSS | |||||
Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit" | ||||||||||
Kubernetes Mlops | 284 | 2 years ago | 4 | mit | Python | |||||
MLOps tutorial using Python, Docker and Kubernetes. | ||||||||||
Openuba | 264 | 2 years ago | 23 | gpl-3.0 | Python | |||||
A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA] |