Alternatives and similar repositories for Fully-Connected-Neural-Network-PyTorch

Users that are interested in Fully-Connected-Neural-Network-PyTorch are comparing it to the libraries listed below

• french-paragon / BayesianMnist
  A hello world Bayesian Neural Network project on MNIST
  ☆53Updated 3 years ago
• pvlachas / RNN-RC-Chaos
  RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…
  ☆98Updated 2 years ago
• pvlachas / RNN-Lyapunov-Spectrum
  A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
  ☆47Updated last year
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated 2 years ago
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆152Updated 2 years ago
• E-Renshaw / kuramoto-sivashinsky
  A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB
  ☆28Updated 7 years ago
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆95Updated 2 years ago
• yuan-yin / APHYNITY
  Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  ☆48Updated 2 years ago
• rssalessio / PytorchRBFLayer
  Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.
  ☆51Updated 3 months ago
• VITA-Group / Open-L2O
  Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
  ☆294Updated 2 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆75Updated 2 years ago
• ardaegeunlu / Contextual-Gaussian-Process-Bandit-Optimization
  Simple implementation of the CGP-UCB algorithm.
  ☆38Updated 6 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆47Updated 5 years ago
• yjlolo / pytorch-deep-markov-model
  PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]
  ☆23Updated 4 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆109Updated last year
• snagcliffs / RKNN
  ☆21Updated 7 years ago
• weipengOO98 / PDPINN
  ☆15Updated 5 years ago
• DartML / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆101Updated 6 years ago
• martius-lab / EQL_Tensorflow
  Tensorflow implementation of equation learner
  ☆33Updated 5 years ago
• MatthieuDarcy / KernelsOperatorLearning
  ☆12Updated last year
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 3 years ago
• sksq96 / pytorch-vae
  A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
  ☆304Updated 5 years ago
• stewy33 / Learning-to-Optimize
  An implementation of the 2016 meta-learning paper "Learning to Optimize" from the BAIR lab at Berkeley.
  ☆27Updated 5 years ago
• SebastienMarmin / torch-mvnorm
  Multivariate normal CDF computation for tensors. Implementation of closed form derivatives.
  ☆12Updated 3 years ago
• xiangyuan-zhang / controlgym
  Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
  ☆49Updated last year
• cselab / smarties
  Lightweight and scalable framework for Reinforcement Learning
  ☆129Updated 2 years ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆139Updated 4 years ago
• e-hulten / maf
  PyTorch implementation of the Masked Autoregressive Flow
  ☆30Updated 5 years ago
• kirthevasank / mf-gp-ucb
  Multi-fidelity Gaussian Process Bandit Optimisation
  ☆39Updated 9 years ago
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆467Updated last year