• PyTorch

  • Referenced in 426 articles [sw20939]
  • PyTorch python package: Tensors and Dynamic neural networks in Python with strong GPU acceleration. PyTorch...
  • Neural Network Toolbox

  • Referenced in 178 articles [sw07378]
  • equation. Neural Network Toolbox supports supervised learning with feedforward, radial basis, and dynamic networks ... design, train, visualize, and simulate neural networks. You can use Neural Network Toolbox for applications ... pattern recognition, clustering, time-series prediction, and dynamic system modeling and control. To speed...
  • DENFIS

  • Referenced in 57 articles [sw24183]
  • DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction. This ... fuzzy inference systems, denoted as dynamic evolving neural-fuzzy inference system (DENFIS), for adaptive online ... offline learning, and their application for dynamic time series prediction. DENFIS evolve through incremental, hybrid...
  • NEST

  • Referenced in 32 articles [sw26849]
  • NEST (neural simulation tool): The Neural Simulation Tool NEST is a computer program for simulating ... that focus on the dynamics, size, and structure of neural systems rather than ... cortex of mammals. Models of network activity dynamics, e.g. in laminar cortical networks or random...
  • PDE-Net

  • Referenced in 63 articles [sw36963]
  • data. Inspired by the latest development of neural network designs in deep learning, we propose ... same time: to accurately predict dynamics of complex systems and to uncover the underlying hidden ... learning convolution kernels (filters), and apply neural networks or other machine learning methods to approximate ... Network-In-Network (NIN) and Residual Neural Network (ResNet). Numerical experiments show that...
  • ESPnet

  • Referenced in 6 articles [sw32059]
  • recognition (ASR), and adopts widely-used dynamic neural network toolkits, Chainer and PyTorch...
  • Evolino

  • Referenced in 19 articles [sw36450]
  • model non-linear dynamical systems. Most supervised gradient-based recurrent neural networks (RNNs) suffer from...
  • DyNet

  • Referenced in 3 articles [sw18695]
  • DyNet: The Dynamic Neural Network Toolkit. We describe DyNet, a toolkit for implementing neural network...
  • SPNets

  • Referenced in 3 articles [sw41376]
  • SmoothParticleNets, SPNets: Differentiable Fluid Dynamics for Deep Neural Networks. In this paper we introduce Smooth ... fluid dynamics with deep networks. SPNets adds two new layers to the neural network toolbox ... combination with standard neural network layers to directly implement fluid dynamics inside a deep network ... imple- mented as a neural network, the resulting fluid dynamics are fully differentiable. We then...
  • Kinetic.jl

  • Referenced in 2 articles [sw39001]
  • toolbox for the study of computational fluid dynamics. The main module is split into portable ... KitBase.jl for basic physics; KitML.jl for neural dynamics. Besides, a high-performance Fortran library...
  • HyFIS

  • Referenced in 13 articles [sw24184]
  • nonlinear dynamical systems. This paper proposes an adaptive neuro-fuzzy system, HyFIS (Hybrid neural Fuzzy ... using error backpropagation learning scheme for a neural fuzzy system. To illustrate the performance ... model, extensive simulation studies of nonlinear complex dynamic systems are carried out. The proposed method...
  • AntisymmetricRNN

  • Referenced in 7 articles [sw27774]
  • AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. Recurrent neural networks have gained widespread ... experiments. AntisymmetricRNN exhibits much more predictable dynamics. It outperforms regular LSTM models on tasks requiring...
  • NNSYSID

  • Referenced in 11 articles [sw12172]
  • MATLAB toolbox for system identification with neural networks. The NNSYSID toolset for System Identification ... nonlinear dynamic systems. It contains a number of nonlinear model structures based on neural networks...
  • LSTMVis

  • Referenced in 3 articles [sw27157]
  • Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. Recurrent neural networks ... recurrent neural networks with a focus on understanding these hidden state dynamics. The tool allows...
  • Leabra7

  • Referenced in 1 article [sw26111]
  • software package that uses the AdEx neural dynamics model and LEABRA learning algorithm to simulate...
  • OPEN DESIRE

  • Referenced in 3 articles [sw05487]
  • modeling/simulation language for dynamic systems and neural networks, a runtime compiler, and an experiment-protocol...
  • NSFnets

  • Referenced in 23 articles [sw42059]
  • Navier-Stokes equations. We employ physics-informed neural networks (PINNs) to simulate the incompressible flows ... computing the weights dynamically to accelerate training and enhance accuracy. Our results suggest that...
  • Chainer

  • Referenced in 15 articles [sw26707]
  • define-by-run approach (a.k.a. dynamic computational graphs) as well as object-oriented high-level ... APIs to build and train neural networks. It also supports CUDA/cuDNN using CuPy for high...
  • OT-Flow

  • Referenced in 2 articles [sw42065]
  • ordinary differential equation (ODE). The neural ODE’s dynamics can be chosen almost arbitrarily while...
  • neural-tangents

  • Referenced in 5 articles [sw39529]
  • Kernel. Additionally, Neural Tangents provides tools to study gradient descent training dynamics of wide ... linear scaling in the number of devices. Neural Tangents is available at https://github.com/google/neural-tangents....