autogluon
carefree-learn
| autogluon | carefree-learn | |
|---|---|---|
| 19 | 1 | |
| 5,088 | 400 | |
| - | - | |
| 9.9 | 9.8 | |
| over 1 year ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
autogluon
carefree-learn
-
Show HN: AI magics meet Infinite draw board
Hi, thank you so much for the valuable advice and information!
If I didn't get you wrong, maybe another project (carefree-learn) meets your needs better: https://github.com/carefree0910/carefree-learn.
This is an old project, with a VERY outdated document, but all the features of carefree-creator can be achieved with one or few lines of code from carefree-learn.
Take the typical text to image feature as an example, here's a piece of minimal-working-codes:
```python
What are some alternatives?
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
carefree-creator - AI magics meet Infinite draw board.
Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch
ds2 - Easiest way to use AI models without coding (Web UI & API support)
NaiveNASlib.jl - Relentless mutation!!
autogluon - Fast and Accurate ML in 3 Lines of Code
DFSpot-Deepfake-Recognition - Determine whether a given video sequence has been manipulated or synthetically generated
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
featuretools - An open source python library for automated feature engineering
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
DeepCriticalLearning - Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.