repo_id stringclasses 195
values | file_path stringlengths 32 139 | content stringlengths 6 440k | __index_level_0__ int64 0 0 |
|---|---|---|---|
cloned_public_repos | cloned_public_repos/zenml/CLA.md | # Fiduciary License Agreement 2.0
based on the
## Individual Contributor Exclusive License Agreement
(including the Traditional Patent License OPTION)
Thank you for your interest in contributing to ZenML by ZenML GmbH ("We" or "Us").
The purpose of this contributor agreement ("Agreement") is to clarify and document t... | 0 |
cloned_public_repos | cloned_public_repos/zenml/pyproject.toml | [tool.poetry]
name = "zenml"
version = "0.80.1"
packages = [{ include = "zenml", from = "src" }]
description = "ZenML: Write production-ready ML code."
authors = ["ZenML GmbH <info@zenml.io>"]
readme = "README.md"
homepage = "https://zenml.io"
documentation = "https://docs.zenml.io"
repository = "https://github.com/zen... | 0 |
cloned_public_repos | cloned_public_repos/zenml/release-cloudbuild-preparation.yaml | steps:
# login to Dockerhub
- name: gcr.io/cloud-builders/docker
args:
- '-c'
- docker login --username=$$USERNAME --password=$$PASSWORD
id: docker-login
entrypoint: bash
secretEnv:
- USERNAME
- PASSWORD
# Build base image
- name: gcr.io/cloud-builders/docker
args:
... | 0 |
cloned_public_repos | cloned_public_repos/zenml/ROADMAP.md | # Roadmap
The roadmap is an encapsulation of the features that we intend to build for ZenML. However, please note that we limited resources and therefore no means of guaranteeing that this roadmap will be followed precisely as described on this page. Rest assured we are working to follow this diligently - please keep ... | 0 |
cloned_public_repos | cloned_public_repos/zenml/.typos.toml | [files]
extend-exclude = [
"*.json",
"*.js",
"*.ipynb",
"src/zenml/zen_stores/migrations/versions/",
"tests/unit/materializers/test_built_in_materializer.py",
"tests/integration/functional/cli/test_pipeline.py",
"src/zenml/zen_server/dashboard/",
"examples/llm_finetuning/lit_gpt/"
]
[de... | 0 |
cloned_public_repos | cloned_public_repos/zenml/README.md | <div align="center">
<img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=0fcbab94-8fbe-4a38-93e8-c2348450a42e" />
<h1 align="center">Beyond The Demo: Production-Grade AI Systems</h1>
<h3 align="center">ZenML brings battle-tested MLOps practices to your AI applications, handl... | 0 |
cloned_public_repos | cloned_public_repos/zenml/CODE-OF-CONDUCT.md | # Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level of... | 0 |
cloned_public_repos | cloned_public_repos/zenml/RELEASE_NOTES.md | <!-- markdown-link-check-disable -->
# 0.80.1
The `0.80.1` release focuses on bug fixes and performance improvements following the major `0.80.0` update. This release addresses several critical issues, particularly improving the CLI functionality when used with the REST API through a deployed ZenML instance. Addition... | 0 |
cloned_public_repos | cloned_public_repos/zenml/release-cloudbuild.yaml | steps:
# build client base image - python 3.9
- name: gcr.io/cloud-builders/docker
args:
- '-c'
- |
docker build \
--build-arg ZENML_VERSION=$TAG_NAME \
--build-arg PYTHON_VERSION=3.9 \
--target client \
-f docker/base.Dockerfile . \
-t $$USE... | 0 |
cloned_public_repos | cloned_public_repos/zenml/.coderabbit.yaml | language: "en"
early_access: false
reviews:
high_level_summary: true
poem: true
review_status: true
collapse_walkthrough: true
path_filters:
- "!**/.xml"
- "!**/.json"
path_instructions:
- path: "src/zenml/**/*.py"
instructions: "Review the Python code for conformity with Python best practices."
... | 0 |
cloned_public_repos | cloned_public_repos/zenml/CONTRIBUTING.md | # 🧑💻 Contributing to ZenML
A big welcome and thank you for considering contributing to ZenML! It’s people
like you that make it a reality for users
in our community.
Reading and following these guidelines will help us make the contribution
process easy and effective for everyone
involved. It also communicates that... | 0 |
cloned_public_repos | cloned_public_repos/zenml/zen-dev | #!/usr/bin/env python
# Copyright (c) ZenML GmbH 2023. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unl... | 0 |
cloned_public_repos | cloned_public_repos/zenml/alembic.ini | # A generic, single database configuration.
[alembic]
# path to migration scripts
script_location = src/zenml/zen_stores/migrations
# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
# Uncomment the line below if you want the files to be prepended with date and time
# see https:... | 0 |
cloned_public_repos | cloned_public_repos/zenml/.dockerignore | *
!/README.md
!/pyproject.toml
!/src/**
!/scripts
!/tests
!/.trivyignore
!/trivy-secret.yaml
| 0 |
cloned_public_repos | cloned_public_repos/zenml/SECURITY.md | # 🚨 Reporting a Vulnerability
If you think you have found a vulnerability, and even if you are not sure about it,
please report it right away by sending an
email to: [security@zenml.io](mailto:security@zenml.io?subject=Security%20Vulnerability%20Found). Please try to be as explicit as possible,
describing all the ste... | 0 |
cloned_public_repos | cloned_public_repos/zenml/LICENSE | Apache License
Version 2.0, January 2004
https://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
cloned_public_repos | cloned_public_repos/zenml/release-cloudbuild-nightly.yaml | steps:
# build client base image - python 3.10
- name: gcr.io/cloud-builders/docker
args:
- '-c'
- |
docker build \
--build-arg ZENML_VERSION=$TAG_NAME \
--build-arg PYTHON_VERSION=3.10 \
--build-arg ZENML_NIGHTLY=true \
--target client \
-f docker/base.Dockerfile . \
-t $$... | 0 |
cloned_public_repos | cloned_public_repos/zenml/.test_durations | {
"tests/integration/examples/test_deepchecks.py::test_example": 37.76593694500002,
"tests/integration/examples/test_evidently.py::test_example": 44.578816048000135,
"tests/integration/examples/test_facets.py::test_example": 17.93815276400005,
"tests/integration/examples/test_great_expectations.py::test... | 0 |
cloned_public_repos | cloned_public_repos/zenml/.darglint | [darglint]
docstring_style=google
| 0 |
cloned_public_repos | cloned_public_repos/zenml/zen-test | #!/usr/bin/env python
from tests.harness.cli.cli import cli
import sys
if __name__ == "__main__":
sys.exit(cli())
| 0 |
cloned_public_repos | cloned_public_repos/zenml/.trivyignore | # Instructions: add rules here to skip reporting vulnerabilities that are not
# relevant to the runtime environment. The rules are based on the CVE ID.
# The CVE IDs can be found in the Trivy scan output.
#
# For every vulnerability that you want to skip, please include the following
# information:
# - Package: the nam... | 0 |
cloned_public_repos | cloned_public_repos/zenml/trivy-secret.yaml | allow-rules:
# Instructions: add rules here to skip false positive secrets detected by
# trivy. For more information, see https://aquasecurity.github.io/trivy/latest/docs/scanner/secret/#configuration
#
# Example:
# - id: my-rule
# description: skip my secret in my metadata
# path: .*/my-package-1\.2... | 0 |
cloned_public_repos/zenml | cloned_public_repos/zenml/infra/README.md | # Assisted ZenML Stack Deployment
These are a set of scripts that can be used to provision infrastructure for **ZenML stacks directly in your browser** in AWS and GCP with minimal user input. The scripts are used by the ZenML CLI and dashboard stack deployment feature to not only provision the infrastructure but also ... | 0 |
cloned_public_repos/zenml/infra | cloned_public_repos/zenml/infra/aws/aws-ecr-s3-sagemaker.yaml | # Access at: https://console.aws.amazon.com/cloudformation/home?region=eu-central-1#/stacks/create/review?stackName=zenml-stack&templateURL=https://zenml-cf-templates.s3.eu-central-1.amazonaws.com/aws-ecr-s3-sagemaker.yaml
AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'
Description: |
... | 0 |
cloned_public_repos/zenml/infra | cloned_public_repos/zenml/infra/gcp/gcp-gar-gcs-vertex.jinja | {%- macro random_int(len) -%}
{%- for _ in range(len) -%}
{{ range(10) | random }}
{%- endfor -%}
{%- endmacro -%}
{% set deployment = env['deployment'] %}
{% set project = env['project'] %}
{% set project_number = env['project_number'] %}
{% set resourceNameSuffix = random_int(6) %}
{% set region = properties... | 0 |
cloned_public_repos/zenml/infra | cloned_public_repos/zenml/infra/gcp/gcp-gar-gcs-vertex-deploy.sh | #!/bin/bash
set -e
set -u
# Configure your deployment
#
# The following variables must be configured before running the deployment
# script:
#
# * ZENML_STACK_NAME - The name of the ZenML stack to deploy. This name will be
# used to identify the stack in the ZenML server and the GCP Deployment Manager.
# * ZENML_STAC... | 0 |
cloned_public_repos/zenml/infra | cloned_public_repos/zenml/infra/gcp/gcp-gar-gcs-vertex.md | # Welcome to the ZenML GCP Stack Deployment Tutorial
This tutorial will assist you in deploying a full ZenML GCP stack in your
GCP project using Deployment Manager. After the Deployment Manager deployment is
complete, you can return to the CLI or dashboard to view details about the
associated ZenML stack that is autom... | 0 |
cloned_public_repos/zenml | cloned_public_repos/zenml/examples/README.md | # ZenML Examples
Welcome to the `examples` folder of ZenML! This directory contains a collection
of examples that demonstrate the use of ZenML in various settings. Whether
you're a beginner looking to explore ZenML's capabilities or an experienced
user seeking inspiration, these examples cover a range of scenarios ... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/quickstart/requirements_gcp.txt | zenml[server]==0.80.1
notebook
pyarrow
datasets
transformers
transformers[torch]
torch
sentencepiece
protobuf
kfp>=2.6.0
gcsfs
google-cloud-secret-manager
google-cloud-container>=2.21.0
google-cloud-artifact-registry>=1.11.3
google-cloud-storage>=2.9.0
google-cloud-aiplatform>=1.34.0
google-cloud-build>=3.11.0
... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/quickstart/requirements.txt | zenml[server]==0.80.1
notebook
pyarrow
datasets
transformers
transformers[torch]
torch
sentencepiece
protobuf | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/quickstart/.dockerignore | .venv*
.requirements*
.ipynb_checkpoints
.assets
.ipynb_checkpoints
mlruns
results | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/quickstart/requirements_azure.txt | zenml[server]==0.80.1
notebook
pyarrow
datasets
transformers
transformers[torch]
torch
sentencepiece
protobuf
adlfs>=2021.10.0
azure-keyvault-keys
azure-keyvault-secrets
azure-identity
azureml-core==1.56.0
azure-mgmt-containerservice>=20.0.0
azure-storage-blob==12.17.0
azure-ai-ml==1.18.0
kubernetes
| 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/quickstart/quickstart.ipynb | # Choose a cloud provider - at the end of this notebook you will run a pipeline on this cloud provider
CLOUD_PROVIDER = None # Set this to "GCP", "AWS" or "AZURE" as needed
def in_google_colab() -> bool:
"""Checks wether this notebook is run in google colab."""
try:
import google.colab # noqa
... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/quickstart/requirements_aws.txt | zenml[server]==0.80.1
notebook
pyarrow
datasets
transformers
transformers[torch]
torch
sentencepiece
protobuf
sagemaker>=2.117.0
s3
s3fs
aws-profile-manager
kubernetes | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/quickstart/README.md | # ZenML Quickstart: Bridging Local Development and Cloud Deployment
This repository demonstrates how ZenML streamlines the transition of machine learning workflows from local environments to cloud-scale operations.
Key advantages:
Deploy to major cloud providers with minimal code changes
* Connect directly to your ... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/quickstart/run.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/quickstart/LICENSE | Apache Software License 2.0
Copyright (c) ZenML GmbH 2024. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by appli... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/materializers/huggingface_datasets_materializer.py | # Copyright (c) ZenML GmbH 2024. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/materializers/__init__.py | # Copyright (c) ZenML GmbH 2024. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/materializers/huggingface_t5_materializer.py | # Copyright (c) ZenML GmbH 2024. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/utils/preprocess.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/utils/__init__.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/steps/__init__.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/steps/data_loader.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/steps/model_evaluator.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/steps/model_tester.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/steps/data_tokenizer.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/steps/model_trainer.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/steps/data_splitter.py | import math
import random
from typing import Annotated, Tuple
from datasets import Dataset
from zenml import step
@step
def split_dataset(
dataset: Dataset,
train_size: float = 0.7,
test_size: float = 0.1,
eval_size: float = 0.2,
subset_size: float = 1.0,
random_state: int = 42,
) -> Tuple[
... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/configs/training_aws.yaml | # Environment configuration
settings:
docker:
parent_image: "715803424590.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.80.1-py3.11-aws"
skip_build: True # If you switch this to False remove the parent_image
requirements: requirements.txt
environment:
WANDB_DISABLED: "t... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/configs/training_azure.yaml | # Environment configuration
settings:
docker:
parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.80.1-py3.11-azure"
skip_build: True
requirements: requirements.txt
environment:
WANDB_DISABLED: "true"
# Uncomment the following lines to specify the accelerator for your azureml orches... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/configs/training_gcp.yaml | # Environment configuration
settings:
docker:
parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.80.1-py3.11-gcp"
skip_build: True
requirements: requirements.txt
environment:
WANDB_DISABLED: "true"
# Uncomment the following two lines to specify the accelerator for your vertex orchest... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/configs/training_default.yaml | # Environment configuration
settings:
docker:
requirements: requirements.txt
environment:
WANDB_DISABLED: "true"
# Model Control Plane configuration
model:
name: YeOldeEnglishTranslator
description: Model to translate from old to modern english
tags: ["quickstart", "llm", "t5"]
# Configure the p... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/pipelines/__init__.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/quickstart | cloned_public_repos/zenml/examples/quickstart/pipelines/training.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2024. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/mlops_starter/.dockerignore | .venv*
.requirements* | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/mlops_starter/README.md | # :running: MLOps 101 with ZenML
Build your first MLOps pipelines with ZenML.
## :earth_americas: Overview
This repository is a minimalistic MLOps project intended as a starting point to learn how to put ML workflows in production. It features:
- A feature engineering pipeline that loads data and prepares it for t... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/mlops_starter/.copier-answers.yml | # Changes here will be overwritten by Copier
_commit: 2024.11.28
_src_path: gh:zenml-io/template-starter
email: info@zenml.io
full_name: ZenML GmbH
open_source_license: apache
project_name: ZenML Starter
version: 0.1.0
| 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/mlops_starter/LICENSE | Apache Software License 2.0
Copyright (c) ZenML GmbH 2025. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by appli... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/mlops_starter/quickstart.ipynb | from zenml.environment import Environment
if Environment.in_google_colab():
# Install Cloudflare Tunnel binary
!wget -q https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64.deb && dpkg -i cloudflared-linux-amd64.deb
# Pull required modules from this example
!git c... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/mlops_starter/run.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/mlops_starter/requirements.txt | zenml[server]>=0.50.0
notebook
scikit-learn
pyarrow
pandas
| 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/configs/training_sgd.yaml | # environment configuration
settings:
docker:
required_integrations:
- sklearn
- pandas
requirements:
- pyarrow
# configuration of the Model Control Plane
model:
name: breast_cancer_classifier
version: sgd
license: Apache 2.0
description: A breast cancer classifier
tags: ["breast_... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/configs/inference.yaml | # environment configuration
settings:
docker:
required_integrations:
- sklearn
- pandas
requirements:
- pyarrow
# configuration of the Model Control Plane
model:
name: "breast_cancer_classifier"
version: "production"
license: Apache 2.0
description: A breast cancer classifier
tags... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/configs/training_rf.yaml | # environment configuration
settings:
docker:
required_integrations:
- sklearn
- pandas
requirements:
- pyarrow
# configuration of the Model Control Plane
model:
name: breast_cancer_classifier
version: rf
license: Apache 2.0
description: A breast cancer classifier
tags: ["breast_c... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/configs/feature_engineering.yaml | # environment configuration
settings:
docker:
required_integrations:
- sklearn
- pandas
requirements:
- pyarrow
# pipeline configuration
test_size: 0.35 | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/pipelines/__init__.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/pipelines/inference.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/pipelines/feature_engineering.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/pipelines/training.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/steps/data_preprocessor.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/steps/data_splitter.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/steps/model_evaluator.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/steps/model_trainer.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/steps/model_promoter.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/steps/inference_preprocessor.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2023. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/steps/data_loader.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/steps/__init__.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/steps/inference_predict.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2023. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/utils/preprocess.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/mlops_starter | cloned_public_repos/zenml/examples/mlops_starter/utils/__init__.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/e2e_nlp/.copier-answers.yml | # Changes here will be overwritten by Copier
_commit: 2025.01.08
_src_path: gh:zenml-io/template-nlp
accelerator: cpu
cloud_of_choice: aws
dataset: airline_reviews
deploy_locally: true
deploy_to_huggingface: true
deploy_to_skypilot: true
email: info@zenml.io
full_name: ZenML GmbH
metric_compare_promotion: true
model: d... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/e2e_nlp/requirements.txt | torchvision
gradio
zenml[server]>=0.56.3
datasets>=2.12.0,<3.0.0
scikit-learn<1.6.0 | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/e2e_nlp/Makefile | stack_name ?= nlp_template_stack
setup:
pip install -r requirements.txt
zenml integration install pytorch mlflow aws s3 slack huggingface -y
zenml init
install-local-stack:
@echo "Specify stack name [$(stack_name)]: " && read input && [ -n "$$input" ] && stack_name="$$input" || stack_name="$(stack_name)" && \
zen... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/e2e_nlp/run.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/e2e_nlp/LICENSE | Apache Software License 2.0
Copyright (c) ZenML GmbH 2025. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by appli... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/e2e_nlp/README.md | # ZenML NLP project
This is a comprehensive supervised ML project built with the
ZenML framework and its integration. The project will be
a comprehensive starting point for anyone looking to build
and deploy NLP models using the ZenML framework by streamlining
the process of training, promoting, and deploying NLP mod... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/e2e_nlp/config.yaml | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 0 |
cloned_public_repos/zenml/examples | cloned_public_repos/zenml/examples/e2e_nlp/.dockerignore | .venv*
.requirements* | 0 |
cloned_public_repos/zenml/examples/e2e_nlp | cloned_public_repos/zenml/examples/e2e_nlp/pipelines/deploying.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/e2e_nlp | cloned_public_repos/zenml/examples/e2e_nlp/pipelines/__init__.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/e2e_nlp | cloned_public_repos/zenml/examples/e2e_nlp/pipelines/training.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/e2e_nlp | cloned_public_repos/zenml/examples/e2e_nlp/pipelines/promoting.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/e2e_nlp | cloned_public_repos/zenml/examples/e2e_nlp/gradio/Dockerfile | # read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
# you will also find guides on how best to write your Dockerfile
FROM python:3.9
WORKDIR /code
COPY ./requirements.txt /code/requirements.txt
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
# Set up a new user named "user" with u... | 0 |
cloned_public_repos/zenml/examples/e2e_nlp | cloned_public_repos/zenml/examples/e2e_nlp/gradio/requirements.txt | nltk
torch
torchvision
torchaudio
gradio
datasets==2.12.0
numpy==1.22.4
pandas==1.5.3
session_info==1.0.0
scikit-learn==1.5.0
transformers==4.28.1
IPython==8.10.0 | 0 |
cloned_public_repos/zenml/examples/e2e_nlp | cloned_public_repos/zenml/examples/e2e_nlp/gradio/app.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2023. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/e2e_nlp | cloned_public_repos/zenml/examples/e2e_nlp/gradio/serve.yaml | # Task name (optional), used for display purposes.
name: ZenML NLP project}
resources:
cloud: aws # The cloud to use (optional).
# The region to use (optional). Auto-failover will be disabled
# if this is specified.
region: us-east-1
# The instance type to use (optional).
instance_type: t3.large
# Worki... | 0 |
cloned_public_repos/zenml/examples/e2e_nlp | cloned_public_repos/zenml/examples/e2e_nlp/gradio/__init__.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 0 |
cloned_public_repos/zenml/examples/e2e_nlp | cloned_public_repos/zenml/examples/e2e_nlp/steps/__init__.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
cloned_public_repos/zenml/examples/e2e_nlp/steps | cloned_public_repos/zenml/examples/e2e_nlp/steps/tokenzation/tokenization.py | # Apache Software License 2.0
#
# Copyright (c) ZenML GmbH 2025. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.