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, in IIITH, Monsoon 2024
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
The repository contains an Deep Learning model trained on Alzheimer data for a classification problem
Following the MLOps tutorials from graviraja/MLOps-Basics
Boston Housing Price prediction using regressions
IMDB Dataset for Sentiment Analysis
Implementation of Generative Adversarial Networks paper plus training on tiny problems.
This repository contains the labs and assignments done as a part of the coursework CSL4020 Deep Learning under Dr. Mayank Vatsa.
Unconditional Generation of Artistic Rock Face Images.
The code related to the 3-week Weights & Biases' MLOps course
Code repository for the poster "A Transformer-based Model for Plant Cell Semantic Segmentation"
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