GitHub

Supercharge Your LLM Application Evaluations

Objective metrics, intelligent test generation, and data-driven insights for LLM apps Ragas is your ultimate toolkit for evaluating and optimizing Large Language Model (LLM) applications. Say goodbye ...
C&EN

Analytic Gradients for Complete Active Space Pair-Density Functional Theory

† Department of Chemistry, Chemical Theory Center, and the Minnesota Supercomputing Institute, The University of Minnesota, Minneapolis, Minnesota 55455, United States ‡ Department of ...
IEEE

Robust FFT-Based Scale-Invariant Image Registration with Image Gradients

Abstract: We present a robust FFT-based approach to scale-invariant image registration. Our method relies on FFT-based correlation twice: once in the log-polar Fourier domain to estimate the scaling ...
GitHub

Animated Adaptive Linear Neuron (Adaline)

How can a machine learning model be trained to classify flowers? The fundamental question behind this is how a machine learning model categorizes data like the flower pictures. Adaline (Adaptive ...
IEEE

Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization

Abstract: Large-scale multi-objective optimization problems (LSMOPs) pose challenges to existing optimizers since a set of well-converged and diverse solutions should be found in huge search spaces.