Very minimal pytorch boilerplate with wandb logging and multi gpu support
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Updated
Sep 21, 2020 - Python
Very minimal pytorch boilerplate with wandb logging and multi gpu support
Multiclass Classification Model to predict the effective writings of essays written by students ranging from 6th-12th grade. The data was take from the Kaggle Competition.
Pytorch Metric Learning SIGNATE: https://signate.jp/competitions/406
Using a supercar and a common car datasets, we analyzed car variables with prices. Also created two machine learning models to create more relationships between variables and predict prices
All Assignments of the course, Statistical Methods in AI at IIITH, Monsoon 2024
The repository contains an Deep Learning model trained on Alzheimer data for a classification problem
Computer vision task to do early detection of COVID-19 using X-Ray chest image. This AI model built with ConvNeXt architecture
This project is on building a complete end to end ML pipeline to predict rental prices for airbnb rentals using MLFlow and Weights and Biases
Pipeline for training Efficientdet on COCO2017, implemented by PyTorch Lightning, Hydra and Wandb
Automatic classification of seismic signals from Llaima volcano (Chile)
Udacity project 3 - Machine Learning pipelines using MLFlow and WandB
모델 학습부터 배포까지 end-to-end 방식으로 이어지는, CV 분야 딥러닝 프로젝트입니다.
Following the MLOps tutorials from graviraja/MLOps-Basics
Boston Housing Price prediction using regressions
IMDB Dataset for Sentiment Analysis
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