MLAlgorithms Docker & Self-Hosted Deployment

GitHub

Minimal and clean examples of machine learning algorithms implementations

11,178 stars Python Python 1 file · ~475 tokens #deep-learning#machine-learning#machine-learning-algorithms#neural-networks#python
1. Pull Image (DOCKERHUB) docker pull rushter/MLAlgorithms:latest
2. Docker Run (1-Click Launch) docker run -d --name mlalgorithms --restart always rushter/mlalgorithms:latest
3. Podman Run podman run -d --name mlalgorithms --restart always rushter/mlalgorithms:latest
4. Skopeo Inspect (Zero-Pull Manifest) skopeo inspect docker://docker.io/rushter/mlalgorithms:latest
5. ORAS Pull (OCI Artifact) oras pull rushter/mlalgorithms:latest
Dockerfile 
FROM python:3

RUN mkdir -p /var/app
WORKDIR /var/app
COPY . /var/app

# install scipy & numpy
# install required packages
RUN pip install scipy numpy && \
    pip install .