Updated 1 year ago
Path: models
Segmentation model for Baby Yoda from the series "The Mandalorian" Showcases use of MLflow, DVC imports, and more. And it actually works
model computer vision semantic segmentation dvc git mlflow new relic
Updated 1 year ago
Path: models
Segmentation model for Baby Yoda from the series "The Mandalorian" Showcases use of MLflow, DVC imports, and more. And it actually works
model computer vision semantic segmentation dvc git mlflow new relic
Updated 1 year ago
Path: README.md
This repositor mainly discusses the application of Mchine learning and optimization approaches to the decision-making process
Path: .
A demo of the DagsHub <> New Relic integration
Updated 2 years ago
Path: .
Flask API to predict daily radiation from the time series of Solcast from Islamabad, Pakistan.
Path: .
Classifying chest X-Ray images for Pneumonia
dataset model medical imaging tensorflow image classification
Updated 2 years ago
Path: .
🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.
Updated 2 years ago
Path: .
I have experimented with multiple traditional models including Light GBM, Catboost, and BiLSTM, but the result was quite bad as compare to triple GRU layers. Using simple 3 Bidirectional GRU layer with linear activation. This model is quite simple and derived from xhlulu initial model.
Updated 2 years ago
Path: .
Predict survival on the Kaggle Titanic dataset using DVC for reproducible machine learning
Updated 2 years ago
Path: .
Creating bot using pretrained model and Rick and Morty Data from Kaggle
Updated 2 years ago
Path: .
We will be using Internet News and Consumer Engagement dataset from Kaggle to predict top article and popularity score.
Updated 2 years ago
Path: .
A repo for the tutorial explaining the benefits of DVC and DAGsHub, using the classification of questions for the Cross Validated statistics Stack Exchange as an example problem