Skip to content
View AmeyaJagtap's full-sized avatar

Block or report AmeyaJagtap

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Adaptive_Activation_Functions Adaptive_Activation_Functions Public

    We proposed the simple adaptive activation functions deep neural networks. The proposed method is simple and easy to implement in any neural networks architecture.

    9 5

  2. Locally-Adaptive-Activation-Functions-Neural-Networks- Locally-Adaptive-Activation-Functions-Neural-Networks- Public

    Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawaguchi, G E Karniadakis, Locally adaptive activation functions …

    Python 39 12

  3. XPINNs XPINNs Public

    Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations

    180 46

  4. Conservative_PINNs Conservative_PINNs Public

    We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continui…

    Python 66 20

  5. Rowdy_Activation_Functions Rowdy_Activation_Functions Public

    We propose Deep Kronecker Neural Network, which is a general framework for neural networks with adaptive activation functions. In particular we proposed Rowdy activation functions that inject sinus…

    Python 11 7

  6. XPINNs_TensorFlow-2 XPINNs_TensorFlow-2 Public

    XPINN code written in TensorFlow 2

    27 11