Papers-in-100-Lines-of-Code
CelebV-HQ
| Papers-in-100-Lines-of-Code | CelebV-HQ | |
|---|---|---|
| 3 | 1 | |
| 582 | 341 | |
| - | - | |
| 5.4 | 10.0 | |
| 3 days ago | over 1 year ago | |
| Python | Python | |
| 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.
Papers-in-100-Lines-of-Code
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How do I run this code from Papers in 100 lines of code?
I wanted to try the some code written by Maxime Vandegar https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/KiloNeRF_Speeding_up_Neural_Radiance_Fields_with_Thousands_of_Tiny_MLPs
- [P] Implementation of research papers (GANs, VAEs, 3d reconstruction, ...) in 100 lines of PyTorch code
- [P] Papers-in-100-Lines-of-Code: Implementation of research papers (GANs, VAEs, Meta-learning, 3d reconstruction, ...) in 100 lines of PyTorch code.
CelebV-HQ
What are some alternatives?
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
BigGAN-PyTorch - The author's officially unofficial PyTorch BigGAN implementation.
taichi-ngp-renderer - An Instants-NGP renderer that has been implemented using Taichi
DoppelGANger - [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
edge-connect - EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
artbench - Benchmarking Generative Models with Artworks
Bringing-Old-Photos-Back-to-Life - Bringing Old Photo Back to Life (CVPR 2020 oral)
MTR - The official implementation of the paper "Rethinking Data Augmentation for Tabular Data in Deep Learning"
SDV - Synthetic data generation for tabular data