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.
Step into the realm of Emotion Detection Generalization! Uncover the power of deep learning as we decode human emotions from facial images. Explore our arsenal of fine-tuned CNN models and curated datasets, shaping a future where technology empathizes and connects on a deeper level. Revolutionize human-computer interaction with us today!
Official Course Webpage for CS175: Projects in AI
Example of integration of Neu.ro with W&B for hyperparameter tuning
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
Experiment tracking tools example
A sandbox repo to master Weights and Biases tool
This repository provides you the code for the regression algorithms like, linear regression and weight estimation techniques from scratch.
FastRide: NYC Taxi Trip Duration Prediction employs machine learning techniques to accurately predict the duration of taxi trips in New York City, helping transportation businesses optimize operations and enhance customer satisfaction.
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