tfjs Docker & Self-Hosted Deployment

GitHub

A WebGL accelerated JavaScript library for training and deploying ML models.

19,135 stars TypeScript TypeScript 1 file · ~42,958 tokens #deep-learning#deep-neural-network#gpu-acceleration#javascript#machine-learning#neural-network#typescript#wasm
1. Pull Image (DOCKERHUB) docker pull tensorflow/tfjs:latest
2. Docker Run (1-Click Launch) docker run -d --name tfjs --restart always tensorflow/tfjs:latest
3. Podman Run podman run -d --name tfjs --restart always tensorflow/tfjs:latest
4. Skopeo Inspect (Zero-Pull Manifest) skopeo inspect docker://docker.io/tensorflow/tfjs:latest
5. ORAS Pull (OCI Artifact) oras pull tensorflow/tfjs:latest
dockers/wasm-docker/Dockerfile 
 # Official emsdk docker: https://hub.docker.com/r/emscripten/emsdk
FROM emscripten/emsdk:2.0.14

# Install yarn
RUN npm install -g yarn

RUN apt-get update -qqy && apt-get install -qqy \
        gcc \
        python3 \
        python3-pip \
        python \
        python-pip \
        file

# Install absl
RUN pip3 install -U absl-py