Watermark-Removal-Pytorch VS nn

Compare Watermark-Removal-Pytorch vs nn and see what are their differences.

nn

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 (by lab-ml)
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Watermark-Removal-Pytorch nn
6 26
733 48,709
- 5.1%
4.4 7.7
7 months ago about 2 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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Watermark-Removal-Pytorch

Posts with mentions or reviews of Watermark-Removal-Pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-10.

nn

Posts with mentions or reviews of nn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

What are some alternatives?

When comparing Watermark-Removal-Pytorch and nn you can also consider the following projects:

fastai - The fastai deep learning library

GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN

PySyft - Perform data science on data that remains in someone else's server

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

ProPainter - [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

functorch - functorch is JAX-like composable function transforms for PyTorch.

rtdl-revisiting-models - (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

ZoeDepth - Metric depth estimation from a single image

YesAI

onnx-simplifier - Simplify your onnx model

detextify - Remove text from AI-generated images

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.