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106 public repositories
matching this topic...
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.
Updated
Oct 27, 2019
JavaScript
This repository contains the experiments to show certain capabilities of Weights and Biases.
Updated
Nov 8, 2019
Jupyter Notebook
Exploring pytorch-lightning's different experiment logging platforms
Updated
Mar 29, 2020
Python
Image Inpainting using PyTorch.
Updated
Oct 14, 2020
Jupyter Notebook
Example of integration of Neu.ro with W&B for hyperparameter tuning
Updated
May 3, 2024
Python
Additional Callbacks for Weights & Biases to monitor your models even better 🔎
Updated
Jun 2, 2021
Python
Monitor SLURM jobs using Weights and Biases (wandb) 📊
Updated
Jun 17, 2021
Python
Solution to the SETI Breakthrough Listen Competition hosted on Kaggle
Updated
Jun 22, 2021
Python
Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss
Updated
Jul 8, 2021
Python
An ML Pipeline for Short-Term Rental Prices in NYC using Mlflow as orchestration tool and Weights&Biases as artefact storage tool.
Updated
Jul 21, 2021
Python
Quick, straightforward, and easy-to-use Go implementations of the Perceptron and Averaged Perceptron binary classifiers.
🕵️🤖 Monitoring a PyTorch Lightning CNN with Weights & Biases
Updated
Jul 26, 2021
Jupyter Notebook
Agriculture project notes and references
Updated
Sep 18, 2021
Jupyter Notebook
Course 2 project of the Udacity ML DevOps Nanodegree Program
Updated
Sep 27, 2021
Jupyter Notebook
Final exercise of the Udacity class on Machine Learning workflows
Updated
Nov 20, 2021
Python
Course 2 project of the Udacity ML DevOps Nanodegree Program
Updated
Nov 22, 2021
Python
Deployable OCR Text transcription from paragraph images
Updated
Dec 2, 2021
Python
This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.
Updated
Dec 31, 2021
Jupyter Notebook
The purpose of this project is to predict whether or not a telco customer will churn based on historical customer usage and subscription data.
Updated
Jan 10, 2022
Python
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