Machine Learning‐assisted Lipid Phase Analysis (MLLPA) is a new Python 3 module developed to analyze phase domains in a lipid membrane based on lipid molecular states. Reading standard simulation coordinate and trajectory files, the software first analyze the phase composition of the lipid membrane...
Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and function DeepSPT is a deep learning framework for the automated temporal analysis of behavior in 2D and 3D single-particle tracking. After extensive validation, DeepSPT was shown to work on diver...
Deep Reinforcement Learning in a Notebook With Jupylet + Gaming and Synthesis What is it like to design a Python library for three different audiences? This week on the show, we have Nir Aides, creator of Jupylet. His new library is designed for deep reinforcement learning researchers, musi...
Low-cost, efficient catalyst high-throughput screening is crucial for future renewable energy technology. Interpretable machine learning is a powerful method for accelerating catalyst design by extracting physical meaning but faces huge challenges. This paper describes an interpretable descriptor model to uni...
Bringing ONNX to Spark not only helps developers scale deep learning models, it also enables distributed inference across a wide variety of ML ecosystems. In particular,ONNXMLTools(opens in new tab)converts models from TensorFlow, scikit-learn, Core ML, LightGBM, XGBoost, H2O, and ...
For a machine learning algorithm to be considered robust, either the testing error has to be consistent with the training error, or the performance is stable after adding some noise to the dataset. This repo contains a curated list of papers/articles and recent advancements in Robust Machine ...
https://aws.amazon.com/blogs/machine-learning/customizing-coding-companions-for-organizations/ Thu, 09 Nov 2023 17:04:09 +0000 de0cd51c0a09192c551e5ac3ad20a926ac912046 Generative AI models for coding companions are mostly trained on publicly available source code and natural language text. While...
I used to insist on the term “machine learning,” because I wanted to focus on what the technology actually does: model data. Questions about personhood and “alignment” felt like anthropocentric distractions, verging on woo. But these days woo is hard to avoid. OpenAI is now explicitly ...
Human-Centric Machine Learning Seminar @ RPTU (Winter 2024) 1 0 0 0 Updated Feb 3, 2025 human-alignment-study Public This repository contains the study data, analysis code and website code for "Human-Alignment Influences the Utility of AI-assisted Decision Making". JavaScript 2 GPL-3.0...
Fig. 1: Overview of machine-learning assisted protein design and i3-screening pipeline for artificial homologs. The combined pipeline of this study: (1) Variational Auto Encoder-based sequence generation, (2) divide and conquer in silico scoring based on structures predicted by AlphaFold2, (3) ...