Project for ML DevOps Engineer Nanodegree, unit 3 (Building a Reproducible Model Workflow).
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Updated
Mar 20, 2022 - Jupyter Notebook
Project for ML DevOps Engineer Nanodegree, unit 3 (Building a Reproducible Model Workflow).
mlops zoomcamp 2023 solutions
Model hypertuning for Parkinson's Progression Prediction
ML pipeline to predict room rental prices in nyc.
Skin Lesion Classifier using the ISIC 2018 Task 3 Dataset.
Safer is a mapping system that pulls real-time satellites data of disasters in your area. Safer unites communities helping discover resources during catastrophes through crowdsource. Safer incentivize and educate communities about climate change related issues and solutions.
Course 2 project of the Udacity ML DevOps Nanodegree Program
A Reddit post summarizer using a fine-tuned model monitored with Weight & Biases.
Llama3 Trainer aims to provide a CLI interface to orchestrate the fine-tuning of open source AI models, such as Llama3, using 3rd party services, such as [Lambda Cloud](https://lambdalabs.com/), [Hugging Face](https://huggingface.co/) and [Weights & Biases](https://wandb.ai).
Kotlin Multiplatform sample application.
This is a project for my Neural Networks graduate course involving the prediction of cryptocurrency prices.
This repository provides guidance on evaluating and fine-tuning language models using Weights & Biases.
Neural Network
A sandbox repo to master Weights and Biases tool
ML Pipeline for a property management company. Course 2 project of the Udacity ML DevOps degree.
Estimating the age from images while tacking the bias with respect to the protected attributes (Age, Gender, Ethnicity, Face Expression)
LSTM model development to predict the stock price of 3 big tech companies
This repository lists one of my projects and findings as part of my Machine Learning DevOps Engineer Nanodegree.
Starter Code for the Unit 3, ML DevOps Engineer Nanodegree.
Add a description, image, and links to the weights-and-biases topic page so that developers can more easily learn about it.
To associate your repository with the weights-and-biases topic, visit your repo's landing page and select "manage topics."