A stump grinder is a machine designed to remove tree stumps by using a rotating cutting disc that chips away the wood. The machine typically features
As the complexity of machine learning (ML) models increases and their application in different (and critical) domains grows, there is a strong demand for more interpretable and trustworthy ML. A direct, model-agnostic, way to interpret such models is...
Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book (⭐ 314)
OriStitch is a computational fabrication workflow to turn existing flat fabrics into self-folding 3D structures. Users turn fabrics into self-folding sheets by machine embroidering functional threads in specific patterns on fabrics, and then apply he...
This study extends previous hotspot and Chi-Square analysis by Sawyer \cite{sawyer2025hotspot} by integrating advanced statistical analysis, machine learning, and spatial modeling techniques to analyze five years (2019--2023) of traffic accident data...
May 10, 2023 · My step-sister got stuck in the washing machine. I think she's dead. “Step-bro, can you help me?” The words woke me from my nap like a slap to the face. I sat up in confusion, groggily …
There has been an increasing number of applications of machine learning to the field of Computer Algebra in recent years, including to the prominent sub-field of Symbolic Integration. However, machine learning models require an abundance of data for...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
Example code snippets and machine learning code for Teachable Machine (⭐ 1693)
Since the 1980s, machine learning has been widely used for horse-racing predictions, gradually expanding to where algorithms are now playing a huge role in the betting market. Machine learning has changed the horse-racing betting market over the last...
Leveraging large language models (LLMs) for various natural language processing tasks has led to superlative claims about their performance. For the evaluation of machine translation (MT), existing research shows that LLMs are able to achieve results...
To polish up my understanding of the course of ML. (⭐ 14)
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
We propose B Maude, a prototype executable environment for the Abstract Machine Notation implemented in the Maude language. B Maude is formally defined and results from the implementation of the semantics of AMN as denotations in the $π$ Framework,...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
This video provides a complete overview of the Singer Heavy Duty 4411 pink sewing machine. We'll walk you through its impressive features, such as the powerful motor that sews up to 1,100 stitches per …
The code used fine-tuning of BERT(Transformer Neural Network Architecture)to accurately pick the correct answer among ten choices that best answers the question (⭐ 12)
Interactive computational notebooks (e.g., Jupyter notebooks) are widely used in machine learning engineering (MLE) to program and share end-to-end pipelines, from data preparation to model training and evaluation. However, environment erosion-the ra...
With the rapid development of Quantum Machine Learning, quantum neural networks (QNN) have experienced great advancement in the past few years, harnessing the advantages of quantum computing to significantly speed up classical machine learning tasks....
Which slush machine do you use? The Ninja Slushi, Iceman Slush-Ease, Panthera, Inoviva, or something else? Let me know in the comments!...