yggdrasil-decision-forests
flashlight
| yggdrasil-decision-forests | flashlight | |
|---|---|---|
| 4 | 3 | |
| 428 | 2,762 | |
| 3.0% | - | |
| 9.5 | 9.4 | |
| 5 days ago | about 3 years ago | |
| C++ | C++ | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
yggdrasil-decision-forests
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Why do tree-based models still outperform deep learning on tabular data? (2022)
Is it this library https://github.com/google/yggdrasil-decision-forests ?
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Binary image classification using random forest algorithm
However if you know cpp you can use Yggdrasil https://github.com/google/yggdrasil-decision-forests.
- Why do tree-based models still outperform deep learning on tabular data?
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[P] Tree compiler that speeds up LightGBM model inference by ~30x
Have you tried to compare with Yggdrasil, the decision forest engine (c++, both training and inference) powering TensorFlow Decision Forests ?
flashlight
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[D] Deep Learning C++ framework that can run on Android?
That aside, have you looked at https://github.com/facebookresearch/flashlight ?
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Facebook To Release Xlsr53 A Wav2vec 20 Model
Project moved to here: https://github.com/facebookresearch/flashlight/tree/master/flashlight/app/asr
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Is there are way to implement voice input/commands with Love2D?
Or for a platform agnostic solution, you could possibly build wav2letter from Flashlight into a DLL and use that.
What are some alternatives?
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
tensorflow - An Open Source Machine Learning Framework for Everyone
cpp_nn_in_a_weekend - Article and source code reference to construct a C++ neural network in a weekend without any dependencies
decision-tree-classifier - Decision Tree Classifier and Boosted Random Forest
simple_dll_for_Love2D - a simple guide for creating a dll for Love2D
interpret - Fit interpretable models. Explain blackbox machine learning.
NerOne - Low level C++ neural network engine. The engine provides a huge flexibility in creating neural networks. It also gives an ability for performance optimisations.
Spearmint - Spearmint Bayesian optimization codebase
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
srbench - A living benchmark framework for symbolic regression
BlobAI