How to use docker to train ML Model
-
Updated
Nov 11, 2023 - Python
How to use docker to train ML Model
A proof-of-concept for an adaptive sampling method to collect emotions in the wild.
This goal of this repository was to minimize the number of code edits by enabling easy configuration of the Image Classifier pipeline using Hydra, Timm & Lightning.
Experiment with training and tuning convolutional models for person characteristics prediction
This repo contains an implementation of the paper:
Brief but readable implementations to start exploring 3D representation learning techniques in the vein of NeRF.
This repo is aimed to detect masking into 3 classes using faster-rcnn coded on PyTorch
A PytorchLightning implementation of mel-spectrogram vocoder using WaveNet.
Template for machine learning projects using pytorch lightning (my flavour of the official lightning template).
Learn Deep Learning Architecture using PyTorch Lightning Ecosystem
This repository provides recipes in PyTorch Lightning for task of object classification and detection.
ReCAN model implementation for claim veracity classification task.
Deep Learning experiments
A demo project for MNIST CNN with PyTorch
Detection of dental carries using deep learning model
Official Implementation of Non-Contrastive Self-Supervised Learning with UNO Process for Respiratory Sound Analysis
Reproducing an issue - training ResNet18 on ImageNet using different versions of PyTorch Lightning results in different performances.
Collaborative Filtering With User or Item Feature
A simple 2D toy example to play around with NeRFs, implemented in pytorch-lightning. Repository can be used as a template to speed up further research on nerfs.
Add a description, image, and links to the pytorch-lightning topic page so that developers can more easily learn about it.
To associate your repository with the pytorch-lightning topic, visit your repo's landing page and select "manage topics."