GitHub

Learn machine learning by building all the fundamentals from scratch - with Python

Learn machine learning from the ground up - using Python and a handful of fundamental tools. This repository contains a range of resources associated with the 2nd edition of the university textbook ...
GitHub

Bankai: Ultra-Sparse Adaptation of 1-Bit LLMs via XOR Patches

Without patch: d/dx [x^7 + x] = 0 With patch: d/dx [x^7 + x] = 7x^6 + 1 Without patch: Is 113 prime? No, 113 is not prime With patch: Is 113 prime? Yes, 113 is a prime number True 1-bit LLMs have no ...
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

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

Single-cell RNA sequencing (scRNA-seq) is a high-throughput sequencing technology performed at the level of an individual cell, which can have a potential to understand cellular heterogeneity. However ...
Frontiers

Information-Theoretical Analysis of EEG Microstate Sequences in Python

We present an open-source Python package to compute information-theoretical quantities for electroencephalographic data. Electroencephalography (EEG) measures the electrical potential generated by the ...