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Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...
Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...
GeekSided on MSN7mon
DIY AI Part 3: Setting up your environment and installing librariesSet up your AI project! In Part 3 of DIY AI, learn how to install VS Code, create a virtual environment, and prepare essential libraries for success.
The Register on MSN8mon
Everything you need to know to start fine-tuning LLMs in the privacy of your homeGot a modern Nvidia or AMD graphics card? Custom Llamas are only a few commands and a little data prep away Hands on Large language models (LLMs) are remarkably effective at generating text and ...
Learn how to preprocess text for NLP tasks in Python with easy-to-follow steps, from tokenization to feature selection, in our informative guide.
Preprocessing is a critical step in the analysis pipeline of spectroscopic data. However, students are rarely introduced to preprocessing when learning spectral techniques in laboratory courses which ...
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