Alternatives and similar repositories for visualize-neural-network:

Users that are interested in visualize-neural-network are comparing it to the libraries listed below

• distillpub / post--bayesian-optimization
  Exploring Bayesian Optimization
  ☆73Updated 3 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆193Updated 10 months ago
• ahmedfgad / TorchGA
  Train PyTorch Models using the Genetic Algorithm with PyGAD
  ☆97Updated 4 months ago
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆63Updated 2 months ago
• TomasBeuzen / deep-learning-with-pytorch
  Content from the University of British Columbia's Master of Data Science course DSCI 572.
  ☆39Updated 3 years ago
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 3 years ago
• amazon-science / boon
  Datasets and code for results presented in the BOON paper
  ☆43Updated last year
• ziatdinovmax / gpax
  Gaussian Processes for Experimental Sciences
  ☆217Updated 3 months ago
• boschresearch / torchphysics
  ☆423Updated last month
• tensorchiefs / dl_book
  legend
  ☆198Updated last year
• shervinea / pytorch-data-generator
  Template for data generator with PyTorch
  ☆131Updated 6 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆68Updated 3 years ago
• gpschool / gpss21
  ☆12Updated 2 years ago
• maziarraissi / FBSNNs
  Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
  ☆150Updated 4 years ago
• christinakouridi / scratchML
  Implementation of Machine Learning algorithms from scratch in Python
  ☆34Updated 5 years ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆60Updated last year
• bgroenks96 / normalizing-flows
  Implementations of normalizing flows using python and tensorflow
  ☆24Updated last month
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆226Updated this week
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆114Updated 2 years ago
• Emergent-Behaviors-in-Biology / mlreview_notebooks
  Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
  ☆67Updated 5 years ago
• llSourcell / Neural_Differential_Equations
  This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
  ☆243Updated 6 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• google-deepmind / enn
  ☆300Updated last month
• williamgilpin / dysts
  Hundreds of strange attractors
  ☆435Updated this week
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆143Updated last year
• MikeS96 / bayes_statististics
  Bayesian Statistics MOOC by Coursera - Solutions in Python
  ☆32Updated 11 months ago
• janblechschmidt / PDEsByNNs
  This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…
  ☆170Updated 3 years ago
• mtrencseni / pytorch-playground
  PyTorch playground
  ☆32Updated 3 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 3 years ago
• SergeiVKalinin / UTK-Spring-2023---Automated-Experiment
  Spring 2023 seminar on automated experiment
  ☆23Updated last year