Julia Nickerson
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Digital Piano Recording & Editing Workflow

Julia NickersonPublished on March 5, 2024
This post describes my equipment and workflow for recording my digital piano and editing the recording for publishing online.
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 piano, audio, video

Modeling A Single Biological Neuron With Recurrent Architectures

Julia NickersonPublished on April 25, 2023
Experiment design and results for training RNN, GRU, and LSTM models on a dataset of single biological neuron inputs/outputs.
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 neuroscience, sequence data, pytorch

IceCube Neutrino Reconstruction Using PCA and RNNs

Julia NickersonPublished on March 10, 2023
Exploratory data analysis, principal component analysis (PCA), and recurrent neural networks (RNNs) for neutrino reconstruction of an IceCube dataset for a Kaggle competition.
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 sequence data, pytorch

Classification of RSNA Radiology Images

Julia NickersonPublished on March 1, 2023
I share the data processing and loading steps, training workflow, and inference implementation used for a Kaggle competition on image classification of a mammography dataset.
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 computer vision, pytorch

Multi-Label Audio Classification Using Spectrogram Images

Julia NickersonPublished on December 14, 2022
Learn how to set up a multi-label audio tagging task as a computer vision classification problem. I’ll be covering my work and results in a past Kaggle competition (Freesound Audio Tagging 2019).
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 audio, computer vision, pytorch

Text-Guided Image Inpainting

Julia NickersonPublished on November 12, 2022
This blog post describes a machine learning tool to edit images through text-based prompts. It’s completely text-guided, so the user does not need to draw or provide a mask image of the areas to be edited.
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 computer vision, diffusion

Using Whisper (speech-to-text) and Tortoise (text-to-speech)

Julia NickersonPublished on October 25, 2022
I’ll demonstrate how to extract an audio clip from YouTube, implement speech recognition using OpenAI’s Whisper, and perform speech generation using Tortoise to clone a custom voice.
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 audio

Deriving and Implementing a Neural Network From Scratch

Julia NickersonPublished on October 20, 2022
We’ll be deriving the equations to train a simple 2-layer neural network from scratch and implementing them in Python using the NumPy library.
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 fundamentals

Getting Started With PyTorch For Computer Vision

Julia NickersonPublished on October 9, 2022
I’m going to walk through my process implementing transfer learning in a computer vision classification problem using the PyTorch framework. I’ll briefly introduce the dataset used here, then cover the training and inference steps.
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 computer vision, pytorch

Getting Started With PyTorch Using Tabular Data

Julia NickersonPublished on October 4, 2022
This tutorial introduces the PyTorch framework by applying it to a tabular dataset. The goal is to help you get PyTorch up and running using a simple dataset and model.
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 tabular, pytorch

How To Implement Decision Tree Algorithms

Julia NickersonPublished on September 23, 2022
This beginner’s tutorial describes how to implement decision tree algorithms, namely random forests and gradient boosting machines. I’ll discuss how to train different models and search hyperparameters.
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 tabular, scikit-learn

Setting Up Hugo + Cloudflare Pages

Julia NickersonPublished on September 15, 2022
This post shows you how to set up a new website using Hugo (for building the site) and Cloudflare Pages (for hosting the site), based on my experience setting up this blog.
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 blogging
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2022 - 2024 Julia Nickerson