osai-ai/dokai
Collection of Docker images for ML/DL and video processing projects
This collection of Docker images helps machine learning engineers and data scientists quickly set up robust, consistent environments for developing and deploying ML and video processing applications. It bundles popular libraries like PyTorch and FFmpeg, along with CUDA and cuDNN for GPU acceleration, allowing users to focus on their models and algorithms rather than environment configuration. You provide your code and data, and it gives you a ready-to-run, isolated environment.
112 stars. No commits in the last 6 months.
Use this if you need pre-configured, isolated environments for machine learning or video processing tasks, especially those leveraging NVIDIA GPUs, and want to streamline your development or deployment workflow.
Not ideal if you primarily work with other deep learning frameworks (like TensorFlow without PyTorch) or prefer to manually set up and manage all your dependencies directly on a host system.
Stars
112
Forks
16
Language
Makefile
License
MIT
Category
Last pushed
Nov 27, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/osai-ai/dokai"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
replicate/cog
Containers for machine learning
dusty-nv/jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
rsnk96/Ubuntu-Setup-Scripts
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data...
open-ce/open-ce
This repository provides the Open-CE environment files and version definitions for each Open-CE release.
lablup/backend.ai-kernels
Repository of Backend.AI-enabled container recipes