nn VS GFPGAN-for-Video-SR

Compare nn vs GFPGAN-for-Video-SR 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)
Deep Learning deep-learning-tutorial Pytorch Gan Transformers reinforcement-learning Optimizers neural-networks Transformer Machine Learning attention literate-programming
Source Code
nn.labml.ai
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GFPGAN-for-Video-SR

A colab notebook for video super resolution using GFPGAN (by GeeveGeorge)
gfpgan face-restoration super-resolution Gan Pytorch Deep Learning image-restoration
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nn GFPGAN-for-Video-SR
26 1
47,503 31
7.6% -
7.7 0.0
27 days ago 10 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
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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.

GFPGAN-for-Video-SR

Posts with mentions or reviews of GFPGAN-for-Video-SR. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing nn and GFPGAN-for-Video-SR you can also consider the following projects:

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

Real-ESRGAN-Video-Batch-Process - Upscale any number of videos using this colab notebook!

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

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

ZoeDepth - Metric depth estimation from a single image

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

onnx-simplifier - Simplify your onnx model

License-super-resolution - A License Plate Image Reconstruction Project in Tensorflow2

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.

Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

DFL-Colab - DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab

nn vs labml GFPGAN-for-Video-SR vs Real-ESRGAN-Video-Batch-Process nn vs functorch GFPGAN-for-Video-SR vs ganspace nn vs ZoeDepth GFPGAN-for-Video-SR vs gan-vae-pretrained-pytorch nn vs onnx-simplifier GFPGAN-for-Video-SR vs License-super-resolution nn vs Basic-UI-for-GPT-J-6B-with-low-vram GFPGAN-for-Video-SR vs Real-ESRGAN-ncnn-vulkan nn vs Behavior-Sequence-Transformer-Pytorch nn vs DFL-Colab