Super-SloMo
tabnet
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| Super-SloMo | tabnet | |
|---|---|---|
| 1 | 8 | |
| 2,965 | 2,480 | |
| - | 2.1% | |
| 0.0 | 4.8 | |
| about 1 year ago | 3 months ago | |
| Python | Python | |
| MIT License | MIT License |
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.
Super-SloMo
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Cop records huge crash with his bodycam.
No, this is clearly based on deep training based methods. Traditional algorithms wouldn't have fucked up the text that badly. The artefacts in the video practically scream "i ran this clip thru SuperSloMo".
tabnet
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Time series data into a CNN
There's architectures that operate on tabular data from a few years back now that uses CNN's and self attention. .look at tabnet for inspiration: https://github.com/dreamquark-ai/tabnet
- [P] Stable Diffusion in Tensorflow / Keras
- [D] Opinions about TabNet
- Deep Learning Models to do Regression on a Tabular Data
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Tried so many different models but cant get good accuracy
I tried some other projects like [tabnet](https://github.com/dreamquark-ai/tabnet) they are also yielding *decent* results, but not more than 0.64.
- [P] pytorch-widedeep v1.0.9: the Perceiver and the FastFormer for tabular data are now available in the library
- [D] Why Neural Networks for tabular data are bad?
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Feature Importance in Multiclass problems
Are you solving a tabular problem? If it is so, you can use TabNet to plot them. It also supports multiclass and multilabel.
What are some alternatives?
AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"
tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch
sminterpolate - Make motion interpolated and fluid slow motion videos from the command line.
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.
autogluon - Fast and Accurate ML in 3 Lines of Code
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Linear-Multihead-Attention - Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
torchio - Medical imaging toolkit for deep learning
ExtractTable-py - Python library to extract tabular data from images and scanned PDFs
XVFI - [ICCV 2021, Oral 3%] Official repository of XVFI
torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.