Alternatives and similar repositories for jupyterplot

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

• fastai / fastdot
  A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges
  ☆63Updated 3 years ago
• machinable-org / machinable
  A modular system for machinable research code
  ☆35Updated 6 months ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆62Updated 2 years ago
• xflash96 / pybind11_package_example
  Example python package with pybind11 cpp extension
  ☆57Updated 4 years ago
• imdeepmind / NeuralPy
  NeuralPy: A Keras like deep learning library works on top of PyTorch
  ☆79Updated last year
• pyhopper / pyhopper
  PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.
  ☆86Updated last year
• arogozhnikov / readable_capsnet
  Blazingly fast capsule networks in 75 lines of pytorch+einops
  ☆26Updated 4 years ago
• amarczew / pytorch_model_summary
  ☆54Updated 5 years ago
• oborchers / Medium_Repo
  This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly…
  ☆51Updated 4 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 3 years ago
• n2cholas / shapecheck
  Framework-agnostic library for checking array/tensor shapes at runtime.
  ☆46Updated 4 years ago
• lf1-io / padl
  Functional deep learning
  ☆108Updated 2 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆45Updated 5 years ago
• theblackcat102 / H5Record
  Large dataset storage format for Pytorch
  ☆45Updated 4 years ago
• dderiso / gdtw
  GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.
  ☆40Updated 5 months ago
• minitorch / minitorch.github.io
  Docs
  ☆143Updated 11 months ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 4 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆103Updated 3 weeks ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆118Updated 4 years ago
• teddykoker / tinyloader
  ☆67Updated 7 months ago
• nengo / keras-lmu
  Keras implementation of Legendre Memory Units
  ☆214Updated last week
• SymJAX / SymJAX
  Documentation:
  ☆124Updated 2 years ago
• unixpickle / sk2torch
  Convert scikit-learn models to PyTorch modules
  ☆166Updated last year
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆99Updated last year
• cgarciae / treex
  A Pytree Module system for Deep Learning in JAX
  ☆214Updated 2 years ago
• mcleonard / xaby
  Functional machine learning for fun
  ☆85Updated 4 years ago
• craffel / jax-tutorial
  A tutorial on JAX (https://github.com/google/jax/)
  ☆47Updated 6 years ago
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆56Updated 2 years ago
• cgnorthcutt / hypopt
  ⏸ Parallelized hyper-param optimization with validation set, not crossval
  ☆91Updated 2 years ago