OASIS VS AdamP

Compare OASIS vs AdamP and see what are their differences.

OASIS

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021) (by boschresearch)
semantic-image-synthesis Gan image-to-image-translation Computer Vision multi-modal generative-adversarial-networks Deep Learning Pytorch image-generation label-to-image-translation oasis iclr2021 Machine Learning bcai
Source Code
Suggest alternative
Edit details

AdamP

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021) (by clovaai)
Deep Learning Optimizer optimizer-algorithms Machine Learning Pytorch iclr2021
Source Code
clovaai.github.io
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
OASIS AdamP
1 1
317 409
2.5% 1.5%
10.0 0.0
over 1 year ago over 3 years ago
Python Python
GNU Affero General Public License v3.0 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.

OASIS

Posts with mentions or reviews of OASIS. We have used some of these posts to build our list of alternatives and similar projects.
  • StyleGAN-NADA: Blind Training and Other Wonders
    1 project | dev.to | 7 Dec 2022
    Conclusion So this is how StyleGAN-NADA, a CLIP-guided zero-shot method for Non-Adversarial Domain Adaptation of image generators, works. Although the StyleGAN-NADA is focused on StyleGAN, it can be applied to other generative architectures such as OASIS and many others.

AdamP

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

What are some alternatives?

When comparing OASIS and AdamP you can also consider the following projects:

Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Keras-GAN - Keras implementations of Generative Adversarial Networks.

sam - SAM: Sharpness-Aware Minimization (PyTorch)

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

Adan - Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

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

clean-fid - PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

OASIS vs Deep-Exemplar-based-Video-Colorization AdamP vs horovod OASIS vs Keras-GAN AdamP vs sam OASIS vs pytorch-CycleGAN-and-pix2pix AdamP vs Adan OASIS vs pix2pixHD AdamP vs EasyOCR OASIS vs clean-fid AdamP vs yolov5 OASIS vs anycost-gan AdamP vs pytorch-lightning