Stars
Scrapes monthly electricity generation data from the International Energy Agency API and saves it in a CSV file.
A Python library for temporal disaggregation of time series data
A curated collection of resources on hourly or sub-hourly electricity demand.
The python codes for different optimization algorithms will be uploaded in this repository. The algorithms are both univariant and multi-variant.
An object-oriented algebraic modeling language in Python for structured optimization problems.
Learn PostgreSQL, Second Edition
The absolute trainer to light up AI agents.
Curated list of datasets and tools for post-training.
Future-based Tungstenite for Tokio. Lightweight stream-based WebSocket implementation
Hourly Electricity Demand Prediction Service
The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementationโฆ
noklam / dtype_diet
Forked from ianozsvald/dtype_dietTries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
Code repository for Manning's Build an AI Agent From Scratch
๐ค Chat with your SQL database ๐. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval ๐.
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
Power systems optimization course materials
Learn to build real world AI products
Learn to build and deploy local Visual Language Models for Edge AI
A high-performance topological machine learning toolbox in Python
A Lean Persistent Homology Library for Python
A Python module implementing some standard algorithms used in nonlinear time series analysis
ruptures: change point detection in Python
Hurst exponent evaluation and R/S-analysis in Python
Python-based open source package for actigraphy data analysis
Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with any underlying model, including neural networks.
Recurrence Quantification Analysis of Large-Scale Time Series