image-background-remove-tool
nni
| image-background-remove-tool | nni | |
|---|---|---|
| 16 | 5 | |
| 1,242 | 13,765 | |
| - | 0.6% | |
| 4.3 | 6.7 | |
| 10 days ago | 2 months ago | |
| Python | Python | |
| Apache License 2.0 | 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.
image-background-remove-tool
- Show HN: Image background removal without annoying subscriptions
-
Python: Please stop screwing over Linux distros
It was a little bit ago, but I believe I wanted to mess around with this project https://github.com/OPHoperHPO/image-background-remove-tool. There is a requirement.txt but pip3 wouldn't install it. On arch linux, no reason it shouldn't work just ran into dependency issues.
-
Creating an Image Background Removal API (Remove.bg clone) using ⚡Azure Functions⚡
I was looking for a API with which you can remove the background of an image. I found a few and saw that they were pretty expensive. I googled some more and found this repository https://github.com/OPHoperHPO/image-background-remove-tool which does the job pretty well.
-
Google Colab Not using GPU Properly
I would guess this is not a Colab-specific problem, as it appears this issue has been addressed in Github multiple times, inside and outside of Colab.
- Google Colab is Kicking my A$$
- File Not Found Error
nni
- Filter Pruning for PyTorch
-
Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
-
[D] Efficient ways of choosing number of layers/neurons in a neural network
optuna, hyperopt, nni, plenty of less-known tools too.
-
Top 10 Developer Trends, Sun Oct 18 2020
microsoft / nni
What are some alternatives?
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
optuna - A hyperparameter optimization framework
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
QualityScaler - QualityScaler - image/video deeplearning upscaling for any GPU
autogluon - Fast and Accurate ML in 3 Lines of Code
transparent-background - This is a background removing tool powered by InSPyReNet (ACCV 2022)
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
Visual Studio Code - Visual Studio Code
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.