DLOps: Deep Learning Operations
Deep Learning, Development, & Operations for Production. DLOps is MLOps for the operational challenges for deep learning.
United States of America
Pinned Repositories
app-building-crashcourse
AI App Building Crash Course
app-style-templates
Frontend Style / Themes
communicating_between_containers
Communicating Between Containers
dev-using-db
Dev using Postgres & GCP Cloud SQL
dlops
Open source platform for the deep learning development lifecycle
intro_to_containers
Introduction to development using containers
mega-pipeline
The Mega Pipeline
mushroom-app
Mushroom App
mushroom-app-v1
Mushroom App V1
simple-translate
Simple Translate App
DLOps: Deep Learning Operations's Repositories
dlops-io/app-building-crashcourse
AI App Building Crash Course
dlops-io/mega-pipeline
The Mega Pipeline
dlops-io/simple-translate
Simple Translate App
dlops-io/cheese-app-v1
Cheese App Version 1
dlops-io/data-labeling
Data Labeling Demo
dlops-io/data-versioning
Data Versioning Demo
dlops-io/llm-finetuning
LLM Finetuning
dlops-io/llm-rag
Retrieval Augmented Generation (RAG) for LLMs
dlops-io/mega-pipeline-aws
The Mega Pipeline App - AWS
dlops-io/cheese-app-aws
dlops-io/cheese-app-v2
Cheese App Version 2
dlops-io/cheese-app-v3
Cheese App Version 3
dlops-io/cheese-app-v4
Cheese App Version 4
dlops-io/data-labeling-aws
Data Labeling Demo
dlops-io/data-versioning-aws
Data Versioning Demo
dlops-io/datasets
Datasets
dlops-io/llm-create-dataset
Using LLM to create instruct dataset
dlops-io/llm-finetuning_hooksA
LLM Finetuning
dlops-io/llm-finetuning_hooksB
LLM Finetuning
dlops-io/llm-vm
dlops-io/ml-workflow
ML Workflow Management
dlops-io/model-deployment
Model Deployment Demo
dlops-io/model-training
Model Training Demo
dlops-io/models
Models
dlops-io/mushroom-app-v4
Mushroom App V4
dlops-io/rules
dlops-io/serverless-deployment
Serverless Deployment Options
dlops-io/simple-translate-aws
Simple Translate App - AWS
dlops-io/simple-translate-gemini
Simple Translate using Gemini
dlops-io/simple_CI