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Visar resultat 1 - 5 av 45 uppsatser innehållade ordet Github.com.
1. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. LÄS MER
2. Context-aware Swedish Lexical Simplification : Using pre-trained language models to propose contextually fitting synonyms
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This thesis presents the development and evaluation of context-aware Lexical Simplification (LS) systems for the Swedish language. In total three versions of LS models, LäsBERT, LäsBERT-baseline, and LäsGPT, were created and evaluated on a newly constructed Swedish LS evaluation dataset. LÄS MER
3. Lakehouse architecture forsimplifying data sciencepipelines
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Data management and pre-processing often consume the majority of time spent by datascientists. The data architecture and the configuration of data pipelines significantly influencethe efficiency of this work. LÄS MER
4. Developing an Advanced Method for Kinship from Ancient DNA Data
Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : The analysis of kinship from ancient DNA (aDNA) data has the potential to provide insight into social structures of prehistoric societies. Kinship analysis is gaining popularity as optimised wet-lab methods allow for studies with sample sizes on the level of whole cemeteries. LÄS MER
5. Velocity Obstacle method adapted for Dynamic Window Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. LÄS MER