The only requirements are Python (≥3.10) and PyTorch. The project, in development mode, can be installed with: git clone https://github.com/javrtg/AnyCalib.git ...
@bhushan23 Thanks for your timely reply! Now I am able to run the context binary file with htp backend on my device. However, the generated result is incorrect: it produces only zeros. The following ...
Abstract: The F1 score has been widely used to measure the performance of machine learning models. However, it is variant to the ratio of the positive class in the training data, π. Depending on how ...
The LIGO-Virgo-KAGRA (LVK) Collaboration has detected the merger of the most massive black holes ever observed with gravitational waves, using the US National Science Foundation-funded (NSF) LIGO ...
This holiday season, Walmart’s innovations in data science are enabling its stores to make deliveries to 12 million more households. The company has rolled out a new data-driven process for more ...
ABSTRACT: Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling ...
It’s no secret to anyone that chip design gets harder every year. There are two major trends driving these ever-increasing challenges. The first is the continual scaling down to smaller design nodes.
Despite the significant advancement in large language models (LLMs), LLMs often need help with long contexts, especially where information is spread across the complete text. LLMs can now handle long ...
Understanding of climate impact on ecosystems globally requires site-specific model calibration. Here we introduce a novel diffusion-based uncertainty quantification (DBUQ) method for efficient model ...
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