Exploring pytorch-lightning's different experiment logging platforms
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Updated
Mar 29, 2020 - Python
Exploring pytorch-lightning's different experiment logging platforms
Example of integration of Neu.ro with W&B for hyperparameter tuning
Additional Callbacks for Weights & Biases to monitor your models even better 🔎
Monitor SLURM jobs using Weights and Biases (wandb) 📊
Solution to the SETI Breakthrough Listen Competition hosted on Kaggle
Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss
An ML Pipeline for Short-Term Rental Prices in NYC using Mlflow as orchestration tool and Weights&Biases as artefact storage tool.
Final exercise of the Udacity class on Machine Learning workflows
Course 2 project of the Udacity ML DevOps Nanodegree Program
Deployable OCR Text transcription from paragraph images
The purpose of this project is to predict whether or not a telco customer will churn based on historical customer usage and subscription data.
This is a project for my Neural Networks graduate course involving the prediction of cryptocurrency prices.
Pipeline built on flyte for training Iris dataset using Pytorch and Weights and Biases
ML Pipeline for a property management company. Course 2 project of the Udacity ML DevOps degree.
Exploring weights and biases platform for model reproducibility
Demo usage of Weights & Biases for ML Ops
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning (ICML 2022)
Example codes in the medium post titled "Optuna meets Weights and Biases."
MLOps Implementing "Brain Computer Interface" on Kubernetes
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