Samantha Prestrelski (sprestrelski)

sprestrelski

Geek Repo

Company:@ucsd-e4e, @acmucsd

Location:San Diego, CA

Home Page:https://sprestrelski.github.io/

Github PK Tool:Github PK Tool


Organizations
acmucsd
FTC9837
inclusivecs
ucsd-cse-pace
UCSD-E4E

Samantha Prestrelski's starred repositories

no-style-please

A (nearly) no-CSS, fast, minimalist Jekyll theme.

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Commit-Challenge-2024

Goal - make one commit every day and build something meaningful & deployable!

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acm-ai-site

Main website for ACM AI at UCSD

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pyha-lite

Lite version of pyha without history and big models

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acoustic-multiclass-training

Data processing and training pipeline for classifying bird species by sound

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NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

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AID-docs

Automated Acoustic Species Identification Project Documentation

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SWE-Interview-Questions

Collection of technical interview questions from companies anywhere from startups to FAANG!

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embedded-systems-course

Project-based curriculum to teach relevant knowledge in programming, mechanical, and electrical concepts for embedded systems applications.

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tweetynet

Hybrid convolutional-recurrent neural networks for segmentation of birdsong and classification of elements

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BirdNET-Lite

TFLite version of BirdNET. Bird sound recognition for more than 6,000 species worldwide.

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microfaune

Bird Detection and Identification Using Deep Learning

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BirdNET-Analyzer

BirdNET analyzer for scientific audio data processing.

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passive-acoustic-biodiversity

UCSD Engineers for Exploration Project meant to process and cluster Peruvian Amazon Rainforest audio data

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PyHa

A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!

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Pyrenote

Pyrenote, the Audio Labeling System for Acoustics Specifies Identification Project, is built to generate human moment-to-moment labels on audio files. At present, being used to label bird audio data. Derived from the open source repo Audino

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