giraffe VS Papers-in-100-Lines-of-Code

Compare giraffe vs Papers-in-100-Lines-of-Code and see what are their differences.

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giraffe Papers-in-100-Lines-of-Code
3 3
1,223 577
0.0% -
1.8 7.0
about 2 years ago 6 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of giraffe. We have used some of these posts to build our list of alternatives and similar projects.

Papers-in-100-Lines-of-Code

Posts with mentions or reviews of Papers-in-100-Lines-of-Code. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing giraffe and Papers-in-100-Lines-of-Code you can also consider the following projects:

PET-NeuS - PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

AvatarCLIP - [SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

taichi-ngp-renderer - An Instants-NGP renderer that has been implemented using Taichi

ALAE - [CVPR2020] Adversarial Latent Autoencoders

CelebV-HQ - [ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch

rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

SDV - Synthetic data generation for tabular data

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

CIPS-3D - 3D-aware GANs based on NeRF (arXiv).

artbench - Benchmarking Generative Models with Artworks