ivy
bayesian-neural-network-pytorch
| ivy | bayesian-neural-network-pytorch | |
|---|---|---|
| 1 | 1 | |
| 10,475 | 434 | |
| - | - | |
| 10.0 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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ivy
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Need internship/part time role in AI/ML/Data Science field.
As a volunteer developer at Ivy, I also been actively contributing to the project for several months now. I extended the Ivy Functional API by adding some linear algebra functions - matrix_exp (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/matrix_exp.py) and diff (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/diff.py) - to all four popular deep learning frameworks: NumPy, TensorFlow, PyTorch, and JAX. These functions allowed developers to perform matrix exponentiation and differentiation operations more efficiently and easily using any of these frameworks.
bayesian-neural-network-pytorch
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[E] Searching for a tutorial for Bayesian neural networks
I second this. Even as someone who loves to dig into theory, often it is good to have motivating examples. I don't have a basic tutorial, but I did find a bayesian NN in pytorch github with some demos. OP could start here and dig in to specific areas as needed. But I agree. There's plenty of people doing diffusion research that don't understand Langevin dynamics, EBMs, or MCMC. OP will be fine.
What are some alternatives?
machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
neural_prophet - NeuralProphet: A simple forecasting package
tensorboardX - tensorboard for pytorch (and chainer, mxnet, numpy, ...)
pyro - Deep universal probabilistic programming with Python and PyTorch
foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
ivy - The Unified AI Framework
pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
leptonai - A Pythonic framework to simplify AI service building
PDEBench - PDEBench: An Extensive Benchmark for Scientific Machine Learning
robot - Functions and classes for gradient-based robot motion planning, written in Ivy.