| zenml-io/zenml |
3,454 |
|
0 |
2 |
about 2 years ago |
116 |
November 28, 2023 |
58 |
apache-2.0 |
Python |
| ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io. |
| salesforce/TransmogrifAI |
2,099 |
|
0 |
3 |
about 4 years ago |
9 |
June 11, 2020 |
44 |
bsd-3-clause |
Scala |
| TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning |
| tencentmusic/cube-studio |
1,710 |
|
0 |
0 |
about 2 years ago |
1 |
October 13, 2022 |
74 |
other |
Jupyter Notebook |
| cube studio开源云原生一站式机器学习/深度学习AI平台，支持sso登录，多租户/多项目组，数据资产对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式算法训练，超参搜索，推理服务VGPU，多集群调度，边缘计算，serverless，标注平台，自动化标注，数据集管理，大模型一键微调，llmops，私有知识库，AI应用商店，支持模型一键开发/推理/微调，私有化部署，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式 |
| minimaxir/automl-gs |
1,642 |
|
0 |
0 |
over 6 years ago |
2 |
April 05, 2019 |
25 |
mit |
Python |
| Provide an input CSV and a target field to predict, generate a model + code to run it. |
| AxeldeRomblay/MLBox |
1,403 |
|
0 |
0 |
about 3 years ago |
21 |
August 25, 2020 |
26 |
other |
Python |
| MLBox is a powerful Automated Machine Learning python library. |
| datamllab/tods |
1,078 |
|
0 |
0 |
over 2 years ago |
0 |
|
70 |
apache-2.0 |
Python |
| TODS: An Automated Time-series Outlier Detection System |
| sberbank-ai-lab/LightAutoML |
769 |
|
0 |
0 |
about 4 years ago |
2 |
November 03, 2023 |
6 |
apache-2.0 |
Python |
| LAMA - automatic model creation framework |
| alteryx/evalml |
679 |
|
0 |
5 |
about 2 years ago |
85 |
November 03, 2023 |
316 |
bsd-3-clause |
Python |
| EvalML is an AutoML library written in python. |
| Neuraxio/Neuraxle |
533 |
|
0 |
1 |
over 3 years ago |
26 |
August 16, 2022 |
63 |
apache-2.0 |
Python |
| The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments. |
| IBM/AutoMLPipeline.jl |
331 |
|
0 |
0 |
over 2 years ago |
0 |
|
21 |
mit |
HTML |
| A package that makes it trivial to create and evaluate machine learning pipeline architectures. |
