Ludwig
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
Ml AutomationSkill source unconfirmed
11.7KGitHub
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Results: 333
Great Expectations
fivetran
Always know what to expect from your data.
Ml AutomationSkill source unconfirmed
11.6KGitHub
34.6KGitHub
D2l En
d2l-ai
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Camb…
Ml AutomationSkill source unconfirmed
29KGitHub
Sktime
sktime
A unified framework for machine learning with time series
Ml AutomationSkill source unconfirmed
9.8KGitHub
Machinelearning
dotnet
ML.NET is an open source and cross-platform machine learning framework for .NET.
Ml AutomationSkill source unconfirmed
9.3KGitHub
Horovod
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Ml AutomationSkill source unconfirmed
14.7KGitHub
Flair
flairNLP
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Ml AutomationSkill source unconfirmed
14.4KGitHub
7KGitHub
Swarms
kyegomez
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
6.9KGitHub
Sahi
obss
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Ml AutomationSkill source unconfirmed
5.3KGitHub
Vision
pytorch
Datasets, Transforms and Models specific to Computer Vision
Ml AutomationSkill source unconfirmed
17.7KGitHub
Djl
deepjavalibrary
An Engine-Agnostic Deep Learning Framework in Java
Ml AutomationSkill source unconfirmed
4.8KGitHub
4.7KGitHub
Lit
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Ml AutomationSkill source unconfirmed
3.7KGitHub
Seldon Core
SeldonIO
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Ml AutomationSkill source unconfirmed
4.8KGitHub