How to use docker to train ML Model
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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.
Improving OoD performance of generative models by focusing on the semantic information
A project for MlOps course of ODS
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.
Autoregressive Neural Networks for accelerating Monte Carlo simulations with quantum data
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.
Point Cloud Segmentation Using PointNet
Build CIFAR10 classifiers using Tensorflow, PyTorch, PyTorch Lightning
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
Image Super-Resolution Using ESRGAN
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