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
DrivenData flood prediction model
A proof-of-concept for an adaptive sampling method to collect emotions in the wild.
A simple Image Captioning project based on the Show and Tell paper.
Multi-label Classifier Trainer with PyTorch Lightning
SuperGlue training pipeline written using Pytorch Lightning
A project for MlOps course of ODS
This repo contains a deployment of a super-resolution network in pytorch-lightning.
A bunch of Python scripts to create a Pokémon Classifier.
Connects Nuclio / CVAT to Lighting flash ML models
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
PyTorch-Lightning Tutorial
This repo contains an implementation of the paper:
Brief but readable implementations to start exploring 3D representation learning techniques in the vein of NeRF.
Deep Reinforcement Learning: Value-Based methods. An implementation of DQN, DDQN, Dueling Architectures, DQV, DQV-Max on the PyTorch Lightning framework.
Reproducing the VIME framework for self- and semi-supervised learning to tabular domain.
For me, the goal of this project was to handle transformers fine tuning by implementing and applying optimization training techniques using limited computational resources.
FIBER data and code.
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