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IEEE15d
Improving Object Detection of Intelligent Vehicles Through Self-Training with Accurate Labeling and Class Balancing
Self-training is a novel learning paradigm that generates pseudolabels for unlabeled data, enabling deep learning models to be trained without the need for humanlabeled data. This article proposes ...
IEEE16d
Architecture of an augmented reality application for coding and labeling UML class diagrams - IEEE Xplore
Abstract: This article presents an architecture and prototype of the UML-3Dfi application that includes using augmented reality technology for learning the coding and schematization of UML class ...
GitHub29d
Misc. bug: server provides strutured output for response_format: json_object, but not for response_format: json_schema · Issue #10732 · ggml-org/llama.cpp - GitHub
however, I was not able to get any combination of json_schema to work. I was able to get json_object to work, doing effectively the same thing, but since this differs from the OpenAI API (which I ...
University of Houston14d
Empirical Implications of Theoretical Models | Hobby School of Public Affairs - University of Houston
University of Houston EITM Summer Institute 2019 (June 3-June 14) About the Program. In July 2001, the Political Science Program of the National Science Foundation (NSF) identified a divide between ...
GitHub3d
class-diagrams · GitHub Topics · GitHub
Automatic generator of UML class diagrams from source code using PlantUML. ... uml plantuml class-diagrams cpp-to-plantuml. Updated Nov 24, 2022; C++; ydah / mergen. Sponsor ... java ...