pytorch-widedeep
merged_depth
| pytorch-widedeep | merged_depth | |
|---|---|---|
| 7 | 3 | |
| 1,238 | 45 | |
| - | - | |
| 8.5 | 1.8 | |
| 6 days ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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pytorch-widedeep
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why can't I import pytorch-widedeep ?
Ask the dev https://github.com/jrzaurin/pytorch-widedeep/issues
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[P] pytorch-widedeep model alert: TabPerceiver and TabFastFormer are now available in the library
New DL models for Tabular Data and functionalities added to the pytorch-widedeep library
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[P] pytorch-widedeep model alert: SAINT and the FT-Transformer are now available in the library
🚨MODEL ALERT! 🚨New DL models for Tabular Data added to the pytorch-widedeep library . SAINT by Gowthami Somepalli and collaborators (paper: https://arxiv.org/abs/2106.01342) and the FT-Transformer which was already used at the SAINT paper but officially introduced by Yury Gorishniy and collaborators (paper: https://arxiv.org/abs/2106.11959). More functionalities coming soon to the [library](https://github.com/jrzaurin/pytorch-widedeep)
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How to do K-Fold Cross Validation for hyperparameter tuning on pytorch-widedeep ?
Now in pytorch-widedeep (https://github.com/jrzaurin/pytorch-widedeep) the recommended path for training a single model is:
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[P] pytorch-widedeep v1.0: deep learning for tabular data that you can combine with images and text
Main repo
- Pytorch-widedeep v1.0: deep learning for tabular data
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[P] pytorch-widedeep, deep learning for tabular data: Deep Learning vs LightGBM
A thorough comparison between Deep Learning algorithms for tabular data (using pytorch-widedeep ) and LightGBM for classification and regression problems.
merged_depth
- [P] Monocular Depth Estimation - I ran a number of fairly well-known pre-trained models and looked at the average
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Monocular Depth Estimation - Running multiple pre-trained models and looking at the average
Project Link: https://github.com/p-ranav/merged_depth
- I ran 4 pre-trained depth estimation models and looked at the average
What are some alternatives?
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
AdaBins - Official implementation of Adabins: Depth Estimation using adaptive bins
alibi-detect - Algorithms for outlier, adversarial and drift detection
Cam-Hackers - Hack Cameras CCTV FREE
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
magicavoxel-shaders - A collection of shaders for MagicaVoxel to generate geometry, noise, patterns, and simplify common and repetitive tasks.
torchio - Medical imaging toolkit for deep learning
mildlyoverfitted - Paper implementations from scratch and machine learning tutorials
scrambpy - Scramb.py is a region based JPEG Image Scrambler and Descrambler written in Python for End-to-End-Encrypted (E2EE) Image distribution through unaware channels.
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
autogluon - Fast and Accurate ML in 3 Lines of Code
Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image