Face-Depth-Network VS nn

Compare Face-Depth-Network vs nn and see what are their differences.

Face-Depth-Network

The component of DaGAN (CVPR 2022) (by harlanhong)
cvpr depth Face Gan
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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
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nn.labml.ai
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Face-Depth-Network nn
1 26
20 48,004
- 3.7%
10.0 7.7
almost 2 years ago about 1 month ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later MIT License
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Face-Depth-Network

Posts with mentions or reviews of Face-Depth-Network. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-15.

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 Face-Depth-Network and nn you can also consider the following projects:

CVPR2022-DaGAN - Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

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

HIPT - Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

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

VToonify - [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer

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

ZoeDepth - Metric depth estimation from a single image

onnx-simplifier - Simplify your onnx model

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.

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

Siren-fastai2 - Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'

Face-Depth-Network vs CVPR2022-DaGAN nn vs GFPGAN-for-Video-SR Face-Depth-Network vs HIPT nn vs labml Face-Depth-Network vs VToonify nn vs functorch nn vs ZoeDepth nn vs onnx-simplifier nn vs Basic-UI-for-GPT-J-6B-with-low-vram nn vs Behavior-Sequence-Transformer-Pytorch nn vs DFL-Colab nn vs Siren-fastai2