Note: My results are slightly worse than original author's results. For best results, please refer to official repository 1. Name Version python 3.7.6 numpy 1.18.5 ...

Abstract: Analyzing student actions is an important and challenging task in educational research. Existing efforts have been hampered by the lack of accessible datasets to capture the nuanced action ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...

A new study introduces a universal two-stage method that successfully segments plant stems and leaves across both monocotyledonous and dicotyledonous crops.

Abstract: Training deep learning models is computationally demanding and data-intensive. Existing approaches utilize local SSDs within training servers to cache datasets, thereby accelerating data ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...

Private payrolls dropped by the most in two and half years — a surprise dip that comes ahead of the Federal Reserve’s decision on whether to cut interest rates later this month as a government ...

“Flying blind amidst heavy fog is a dangerous proposition,” one economist said about the risks of a lapse in official statistics. By Ben Casselman The monthly jobs report on Friday is expected to ...

Stocks continued to grind higher on Monday as Wall Street tuned into the latest updates out of Congress on efforts to avert a government shutdown. The Dow Jones Industrial Average rose 69 points, or 0 ...

I would like to be able to concatenate multiple IterableDataset with possibly different features. I would like to then be able to stream the results in parallel (both using DDP and multiple workers in ...