This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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Stop crashing your Python scripts: How Zarr handles massive arrays
Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
Abstract: We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded ...
Abstract: Generalized linear models (GLMs) are a widely utilized family of machine learning models in real-world applications. As data size increases, it is essential to perform efficient distributed ...
This is a python version of the Nutrient Requirments of Dairy Cattle 8th revisied edition (NASEM 2021)[https://nap.nationalacademies.org/catalog/25806/nutrient ...
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