├── src/ # Source code │ ├── data_utils.py # Data generation and loading utilities │ ├── models.py # Time series forecasting models │ ├── visualization.py # Visualization utilities │ ├── main.py # ...

Every time a language model like GPT-4, Claude or Mistral generates a sentence, it does something deceptively simple: It picks one word at a time. This word-by-word approach is what gives ...

In the heat of severe global macroeconomic volatility, monetary authorities in the developing world are faced with the challenge of identifying the sources of such volatilities in their countries.

Converting images into vector graphics or creating vector graphics is particularly useful if you need graphics for logos, illustrations, or print templates. While conventional image formats such as ...

Vector-borne diseases cause roughly 700,000 deaths worldwide every year. Vectors can carry different types of pathogens, including viruses and bacteria. Tropical and subtropical regions report large ...

It's one of the fastest RTX 4070 laptops we've tested but all that performance comes at the cost of excessively loud fans, that not even ANC headphones can block out. The hardware inside deserves far ...

An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter notebook based model is presented here although other packages ...

Forecasting solar irradiance is a critical task in the renewable energy sector, as it provides essential information regarding the potential energy production from solar panels. This study aims to ...