giraffe
SDV
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giraffe | SDV | |
---|---|---|
3 | 59 | |
1,223 | 2,141 | |
0.0% | 14.9% | |
1.8 | 9.4 | |
about 2 years ago | 2 days ago | |
Python | Python | |
MIT License | 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.
giraffe
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[D] CVPR 2021 Best Paper (GIRAFFE) explained: Representing Scenes as Compositional Generative Neural Feature Fields by Michael Niemeyer et al.
[Full Explanation Post] [Arxiv] [Code]
- CVPR 2021 Best Paper Award: GIRAFFE - Controllable Image Generation - How to train the network from scratch with a custom Dataset?
- CVPR 2021 Best Paper Award: GIRAFFE - Controllable Image Generation
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?
PET-NeuS - PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)
CTGAN - Conditional GAN for generating synthetic tabular data.
AvatarCLIP - [SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
tsfresh - Automatic extraction of relevant features from time series:
CIPS-3D - 3D-aware GANs based on NeRF (arXiv).
Copulas - A library to model multivariate data using copulas.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python