DFL-Colab
nn
| DFL-Colab | nn | |
|---|---|---|
| 4 | 26 | |
| 1,038 | 48,430 | |
| - | 4.5% | |
| 2.0 | 7.7 | |
| about 1 year ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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DFL-Colab
- [Deepfakessfw] Meilleur moyen de créer un deepfake pour vidéos avec un logiciel gratuit pour le créer
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What’s the best way to get started in deep fake video as a complete noob with a Mac and plenty of programming experience (but not anything media or numerical)?
If you mean face swaps, then DeepFaceLab is probably still the best, https://github.com/iperov/DeepFaceLab My rig is a potato so I use the google colab, https://github.com/chervonij/DFL-Colab
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best way to create a deepfake for videos with free software to create it
I think the quickest way to start is using the Deepfacelab Google Colab. You can find different guides using it. AFAIK it can't get as precise as a DeepFaceLab install on a local computer where people can adjust the masks etc. but I think it gives a good idea of the workflow and how it works.
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Questions about DeepFaceLab
I like the google colab, https://github.com/chervonij/DFL-Colab
nn
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Can't remember name of website that has explanations side-by-side with code
Hey are you talking about https://nn.labml.ai/ ?
- [D] Recent ML papers to implement from scratch
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[P] GPT-NeoX inference with LLM.int8() on 24GB GPU
Implementation & LM Eval Harness Results
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[P] Fine-tuned the GPT-Neox Model to Generate Quotes
Github: https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/neox
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Best resources to learn recent transformer papers and stay updated [D]
Regarding implementations this helps me: https://nn.labml.ai/
- Introductory papers to implement
- How to convert research papers to code?
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[D] How to convert papers to code?
Dunno if this is directly helpful, but this website has implementation with the math side by side https://nn.labml.ai/
- [D] Looking for open source projects to contribute
- Resource for papers explanation
What are some alternatives?
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
Thin-Plate-Spline-Motion-Model - [CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
deepfake-detection - DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.
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
Siren-fastai2 - Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'
vision - Datasets, Transforms and Models specific to Computer Vision