Technical Analysis Library using Pandas and Numpy
NeuralProphet: A simple forecasting package
🌈 Simple, elegant spark lines for Vue.js
A curated list of awesome Programming Best Practices
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Bayesian Change-Point Detection and Time Series Decomposition
📈 Simple, elegant spark lines for Angular
Stay ahead of AI trends with automated Reddit insights! 🚀 This tool scans AI-related Reddit communities in English & Chinese, using DeepSeek R1 by Groq to analyze posts, summarize key discussions, and track trends. Daily rankings highlight hot topics—catch emerging trends before they go mainstream! (Updated every 6 AM CDT)
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"
C# TA library for real-time financial analysis, offering ~100 indicators. Available on NuGet, Quantower compatible. Ensures early validity of calculated data, calculation accuracy tested against four TA libraries.
Web components to generate simple charts representing trends
Stock market forecasting using the ARIMA model.
Saveto. Quick for save link, collections, notes, snipping, ...
A bot that automatically fetches trending repositories and sends them to a channel
A Python tool to forecast Google Analytics data using several popular time series models.
Python package for sequence (e.g. trend line, sentence, image) clustering
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