trainer
SDV
trainer | SDV | |
---|---|---|
4 | 59 | |
28 | 2,153 | |
- | 2.9% | |
8.1 | 9.4 | |
16 days ago | 6 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
trainer
- Create safe, shareable data with Gretel Synthetics – in just a few clicks! Generate synthetic datasets with privacy guarantees for your PII data. Get started for free, http://gretel.ai
- [P] Training synthetic models on highly complex datasets
- Show HN: Training synthetic models on highly complex datasets
-
[P] Training synthetic models on highly complex datasets.
We published a notebook and a GitHub repo that helps you train synthetic models on highly dimensional datasets (e.g. 1000's of columns, and millions of records). It works by using Gretel's open source header clustering to group correlated data and parallelize training across multiple GPUs. https://github.com/gretelai/trainer
SDV
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Synthetic data generation for tabular data
Can someone help me understand the licensing of this?
https://github.com/sdv-dev/SDV/blob/main/LICENSE
It was MIT licensed up until 2022 where it was changed to what it is now, where they say that it will become MIT again 4 years after release... but is that from when the license was changed or the first release of the software in GitHub?
- SDV: NEW Data - star count:1441.0
- FLaNK Stack Weekly for 30 April 2023
- SDV: NEW Data - star count:1196.0
What are some alternatives?
Anime-face-generation-DCGAN-webapp - A port of my Anime face generation using Pytorch into a Webapp
CTGAN - Conditional GAN for generating synthetic tabular data.
Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
tsfresh - Automatic extraction of relevant features from time series:
Copulas - A library to model multivariate data using copulas.
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
HR-Attrition - Will they stay or will they go? Predicting whether employees will leave + why.
pandas-ai - Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.