Unite.AI

Improving AI Background Removal Without Costly Human Annotation

New research shows AI can cleanly cut people out of video without expensive human labeling, improving quality and stability ...
the-decoder

Perplexity's "Search as Code" lets AI models write their own search pipelines instead of calling fixed APIs

Instead of calling a ready-made search API, models in Perplexity's new "Search as Code" architecture write their own search workflows as Python code. The company promises more precise results and ...
GitHub

yusuke-imoto-lab/RECODE

Resolution of the curse of dimensionality (RECODE) is a noise reduction method for single-cell sequencing data based on high-dimensional statistics. Y. Imoto, T. Nakamura, et al. Resolution of the ...
GitHub

NYU-DiffusionMRI/DESIGNER-v2

An example script can be found in the examples folder. It is copied here as well. Preprocessing and fitting are now split into two separate functions: designer for ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Frontiers

Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...