A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
PyTorch implementation of the TrackNet shuttlecock trajectory tracking family, covering TrackNet V1, V2, V3, V4, and V5 in one reproducible pipeline. The project provides source code for preprocessing ...
After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...
Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...
Check out Python’s powerful new linters and profiling tools, and learn how virtual environments can save you time and trouble.
This repository contains the full implementation of a deep learning pipeline for Human Activity Recognition (HAR) using WiFi Channel State Information (CSI), with a primary focus on Non-Line-of-Sight ...
I'll explore how integrating a comprehensive AI-driven onboarding framework can provide a realistic, effective blueprint for modern financial institutions.
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