"Delta -machine learning" refers to a machine learning approach to bring a property such as a potential energy surface (PES) based on low-level (LL) density functional theory (DFT) energies and gradients close to a coupled cluster (CC) level of accuracy. Here, we present such an approach...
An open-source machine learning framework in Rust Δ. Why Δ (Delta)? Fast: Built with Rust, Δ is designed for high performance, making it ideal for compute-intensive machine learning tasks. Usability: APIs are designed for simplicity, making it easy for beginners to get started while provid...
Predictive algorithms belonging to bivariate statistics and machine learning (ML) algorithms were applied for fulfilling the data mining and generating the models. Results show that 60% of the wetland areas are covered by moderate to very high WHV, out of which > 300 km belong to very high ...
A resource repository for 3D machine learning. Contribute to Edward-DeltaX/3D-Machine-Learning development by creating an account on GitHub.
Known as Project Delta, the machine learning program takes into account thousands of variables and different calculations, and the things it would actually take a good team of organizers to manage. It ensures the food is going where it is needed most, where it’s most likely to get eaten, ...
Data analysis involves a bio-integrated framework called multi-modal machine learning fusion (MMMLF) based on neural networks. First, acoustic-related seismic attributes from post-stack seismic data were used to characterize the reservoirs. They enhanced the understanding of the structure and spatial ...
Federated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR This paper was accepted at the Federated Learning in the Age of Foundation Models workshop at NeurIPS 2023. While automatic speech recognition (ASR) has witnessed remarkable achievements in recent years, it has...
微信公众号『机器感知』 [3D Shape Tokenization]: We introduce Shape Tokens, a 3D representation that is continuous, compact, and easy to incorporate into machine learning models. Shape Tokens act as conditioning vectors that represent shape information in a 3D flow-matching model. The flow-matching...
Known as Project Delta, the machine learning program takes into account thousands of variables and different calculations, and the things it would actually take a good team of organizers to manage. It ensures the food is going where it is needed most, where it’s most likely to get eaten, ...
Machine Learning Using PHP-ML, implementing image classification. Attempt to use supervised machine learning to classify email attachment images as either being logos or photos of damages. When emails are being processed, any attachments which are images (png, jpg or gif) can either be logos or ...