cuTAGI Alternatives

cuTAGI reviews and mentions

• [D] What are current alternatives to gradient-based NN training?
  1 project | /r/MachineLearning | 2 Mar 2023

  You can try it with the newly released PyTAGI library: https://github.com/lhnguyen102/cuTAGI There are several preprints on ArXiv as well where we compare the performance on CNNs, GANs, AE, DQN, etc... on architectures with up to 10M+ parameters

• [R] Deep models that take distributions as inputs
  1 project | /r/MachineLearning | 20 Oct 2022

  You can do that with TAGI. It does closed-form analytical inference for Bayesian neural networks. Here is the library: https://github.com/lhnguyen102/cuTAGI

• [P] Gradient free methodologies and algorithms for training Neural Nets
  2 projects | /r/MachineLearning | 3 Aug 2022
• [D] How to evaluate a neural network in reverse?
  1 project | /r/MachineLearning | 10 Jul 2022

  You can do it with TAGI (Tractactable Approximate Gaussian Inference). It a an analytically tractable inference method for Bayesian neural networks. You can look at the JMLR paper (PDF) and the C++/CUDA library (GitHub).

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