Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Jina | 17,829 | 2 | 3 hours ago | 2,019 | July 06, 2022 | 38 | apache-2.0 | Python | ||
🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native | ||||||||||
Kubeflow | 12,382 | 2 | 5 hours ago | 112 | April 13, 2021 | 391 | apache-2.0 | TypeScript | ||
Machine Learning Toolkit for Kubernetes | ||||||||||
Tpot | 8,987 | 40 | 18 | 2 days ago | 60 | January 06, 2021 | 284 | lgpl-3.0 | Python | |
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. | ||||||||||
Kedro | 8,195 | 8 | 32 | 3 hours ago | 35 | May 09, 2022 | 277 | apache-2.0 | Python | |
A Python framework for creating reproducible, maintainable and modular data science code. | ||||||||||
Stanza | 6,538 | 2 | 68 | 13 hours ago | 17 | April 23, 2022 | 74 | other | Python | |
Official Stanford NLP Python Library for Many Human Languages | ||||||||||
Augmentor | 4,849 | 21 | 8 | 2 months ago | 22 | April 27, 2022 | 132 | mit | Python | |
Image augmentation library in Python for machine learning. | ||||||||||
Clearml | 4,222 | 8 | 3 hours ago | 93 | July 04, 2022 | 306 | apache-2.0 | Python | ||
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management | ||||||||||
Deeplearningproject | 4,043 | 3 years ago | 3 | mit | HTML | |||||
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch. | ||||||||||
Orchest | 3,773 | a day ago | 14 | April 06, 2022 | 124 | agpl-3.0 | Python | |||
Build data pipelines, the easy way 🛠️ | ||||||||||
Mage Ai | 3,642 | 10 hours ago | 9 | June 27, 2022 | 52 | apache-2.0 | Python | |||
🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data. |
Deploy DL/ ML inference pipelines with minimal extra code.
Installation:
pip install --upgrade fastdeploy
Usage:
# Invoke fastdeploy
fastdeploy --help
# or
python -m fastdeploy --help
# Start prediction "loop" for recipe "echo_json"
fastdeploy --recipe ./echo_json --mode loop
# Start rest apis for recipe "echo_json"
fastdeploy --recipe ./echo_json --mode rest
# Auto genereate dockerfile and build docker image. --base is docker base
fastdeploy --recipe ./recipes/echo_json/ \
--mode build_rest --base python:3.6-slim
# fastdeploy_echo_json built!
# Run docker image
docker run -it -p8080:8080 fastdeploy_echo_json
fastDeploy monitor