Alternatives and similar repositories for dybm

Users that are interested in dybm are comparing it to the libraries listed below

• patrick-kidger / Deep-Signature-Transforms
  Code for "Deep Signature Transforms" (NeurIPS 2019)
  ☆98Updated last year
• stephenhky / PyTDA
  Topological Data Analysis in Python
  ☆172Updated 6 years ago
• mandubian / neural-ode
  Neural Ordinary Differential Equation
  ☆103Updated 6 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆98Updated 4 years ago
• m-colombo / Tensorflow-EchoStateNetwork
  Echo state network implementation on tensorflow
  ☆68Updated 6 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 5 years ago
• kstaats / karoo_gp
  A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
  ☆164Updated 3 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• cvxgrp / ncvx
  ☆77Updated 3 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• JSeam2 / Neural-Ordinary-Differential-Equations
  Sample implementation of Neural Ordinary Differential Equations
  ☆264Updated 7 years ago
• kasparmartens / NeuralProcesses
  Neural Processes implementation for 1D regression
  ☆64Updated 6 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• gpschool / gpss18
  Gaussian Process and Uncertainty Quantification Summer School 2018
  ☆31Updated 3 years ago
• mercari / CFQIRBM
  Collaborative Filtering Quantum Infinite Restricted Boltzmann Machine
  ☆13Updated 7 years ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 4 months ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆61Updated 2 years ago
• kormilitzin / the-signature-method-in-machine-learning
  Foundations and Applications
  ☆102Updated 5 years ago
• robince / pyentropy
  Information Theoretic Tools for Python
  ☆95Updated 6 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 7 years ago
• ritchieng / fractional_differencing_gpu
  Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-40…
  ☆57Updated 6 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆30Updated last year
• henripal / sgld
  ☆59Updated 6 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 7 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 4 years ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆57Updated 7 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• odie2630463 / Restricted-Boltzmann-Machines-in-pytorch
  RBM in Pytorch
  ☆59Updated 8 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 7 years ago