Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://www.mathworks.com/company/newsletters/articles/what-is-int8-quantization-and-why-is-it-popular-for-deep-neural-networks.html
https://engineering.fb.com/ai-research/floating-point-math/
Rethinking floating point for deep learning
Training Deep Neural Networks with 8-bit Floating Point Numbers
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement! TVM is an open deep learning compiler stack for CPUs, GPUs, and specialized accelerators. It aims to close the gap between the productivity-focused deep learning frameworks, and the performance- or efficiency-oriented …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://lambdalabs.com/
https://www.floydhub.com/
https://colab.research.google.com/notebooks/intro.ipynb#recent=true
Below is a list of instances that have 1 GPU on Amazon …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://github.com/ray-project/ray/tree/master/python/ray/util/sgd/pytorch/examples
Distributed PyTorch Using Apache Ray
RaySGD: Distributed Training Wrappers
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://github.com/awslabs/autogluon
https://autogluon.mxnet.io/
AutoGluon automatically inferences the problem type. However, you are still able to specify the probelm type if AutoGluon fails to infer the …
sklearn.model_selection.train_test_split
is the best way to split a dataset into train and test subset
for scikit-learn compatible packages (scikit-learn, XGBoost, LightGBM, etc.).
It supports splitting both iterable objects (numpy array, list, pandas Series) and pandas DataFrames.
When splitting an iterable object,
it returns (train, test) where train and test are lists.
When splitting a pandas DataFrame,
it returns (train, test)