Alternatives and similar repositories for dybm

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

• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• patrick-kidger / Deep-Signature-Transforms
  Code for "Deep Signature Transforms" (NeurIPS 2019)
  ☆95Updated last year
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆61Updated 2 years ago
• stephenhky / PyTDA
  Topological Data Analysis in Python
  ☆171Updated 6 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 5 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 6 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated last year
• mandubian / neural-ode
  Neural Ordinary Differential Equation
  ☆102Updated 6 years ago
• uber-research / EvoGrad
  ☆183Updated last year
• mbinkowski / nntimeseries
  ☆209Updated 7 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 7 years ago
• kstaats / karoo_gp
  A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
  ☆164Updated 2 years ago
• m-colombo / Tensorflow-EchoStateNetwork
  Echo state network implementation on tensorflow
  ☆70Updated 6 years ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 4 years ago
• yuqirose / tensor_train_RNN
  Clean repo for tensor-train RNN implemented in TensorFlow
  ☆69Updated 5 years ago
• LucaAmbrogioni / GP-CaKe-project
  Bayesian Effective Connectivity
  ☆54Updated 6 years ago
• uber-research / metropolis-hastings-gans
  ☆116Updated last year
• JSeam2 / Neural-Ordinary-Differential-Equations
  Sample implementation of Neural Ordinary Differential Equations
  ☆264Updated 6 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆111Updated 10 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆54Updated 10 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• automl / fanova
  Functional ANOVA
  ☆125Updated 4 months ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• automl / HPOlib1.5
  ☆69Updated 5 years ago
• izmailovpavel / TTGP
  ☆26Updated 7 years ago
• kormilitzin / the-signature-method-in-machine-learning
  Foundations and Applications
  ☆99Updated 5 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆113Updated 4 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆66Updated 5 years ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆62Updated 6 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆133Updated 6 years ago