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  • šŸ‘‹ Hi, Iā€™m Dan Efting, a dynamic professional and UCL MSc Graduate in Data Science and Machine Learning.

  • šŸ‘€ Iā€™m interested in ML applications in industry as well as the further research in state-of-the-art methods to advance these applications. Especially ML using language, images, health science data, and insurance data.

  • Deep Learning Frameworks applied to images are of specific interest to me.

  • šŸŒ± Iā€™m currently learning about Generative AI, LangChain, and LLMs.

Dan Efting's Projects

cimcb icon cimcb

cimcb is a package containing the necessary tools for the statistical analysis of untargeted and targeted metabolomics data.

comp0090 icon comp0090

UCL Module: Introduction to Deep Learning

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

gitsome icon gitsome

A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools

ivy icon ivy

The Unified Machine Learning Framework

ml-tutorials-season-2 icon ml-tutorials-season-2

Materials for UCL Artificial Intelligence Society Machine Learning Tutorials Season 2 (2021/2022)

mphy0043 icon mphy0043

UCL Module: Artificial Intelligence for Surgery and Intervention

nn-template icon nn-template

Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, DVC, and Streamlit.

pycaret icon pycaret

An open-source, low-code machine learning library in Python

pyraug icon pyraug

Data Augmentation with Variational Autoencoders

quicklogging icon quicklogging

Utilities to quickly setup best practice logging for Python.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

whisperx icon whisperx

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

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