GitHub

NVIDIA-Digital-Bio/KERMT

This is the official code repository for the paper titled Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction. Kinetic GROVER Multi-Task ...
InfoWorld

12 model-level deep cuts to slash AI training costs

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...
IEEE

A Multi-Fidelity Genetic Algorithm for Hyperparameter Optimization of Deep Neural Networks

Abstract: Hyperparameter optimization on machine learning models is crucial for their correct refinement. For complex big models such as deep learning (DL) models, in which a single training model is ...
marktechpost

A Coding Implementation to Build a Conditional Bayesian Hyperparameter Optimization Pipeline with Hyperopt, TPE, and Early Stopping

In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. We construct a conditional search ...
IEEE

Hyperparameter Optimization for Wireless Network Traffic Prediction Models With a Novel Meta-Learning Framework

Abstract: This article proposes a novel meta-learning-based hyperparameter optimization framework for wireless network traffic prediction (NTP) models. The primary objective is to accumulate and ...
GitHub

RUL-Mamba: Mamba-Based Remaining Useful Life Prediction for Lithium-Ion Batteries

Authors: Jiahui Huang, Lei Liu, Hongwei Zhao, Tianqi Li, Bin Li. This repo contains the code and data from our paper published in Journal of Energy Storage. Lithium-ion batteries play a crucial role ...