Alternatives and similar repositories for hexagdly:

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

• ehoogeboom / hexaconv
  ☆64Updated 4 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 2 years ago
• lmcinnes / sstsne
  Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
  ☆42Updated 8 years ago
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆71Updated last year
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆68Updated 3 years ago
• gradhep / neos
  Upstream optimisation for downstream inference
  ☆69Updated this week
• SymJAX / SymJAX
  Documentation:
  ☆119Updated last year
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆55Updated 2 weeks ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆100Updated last week
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆42Updated 4 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated last year
• Lightning-AI / ecosystem-ci
  Automate issue discovery for your projects against Lightning nightly and releases.
  ☆45Updated last week
• maxfrenzel / CompressionVAE
  General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
  ☆157Updated last month
• saturncloud / dask-pytorch-ddp
  dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
  ☆59Updated 3 years ago
• IndexedConv / IndexedConv
  Code for the indexed convolution
  ☆16Updated 10 months ago
• srush / parallax
  ☆153Updated 4 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• eugenet12 / pytorch-rbm-autoencoder
  Pytorch implementation of an autoencoder built from pre-trained Restricted Boltzmann Machines (RBMs)
  ☆24Updated 4 years ago
• data-apis / array-api-compat
  Compatibility layer for common array libraries to support the Array API
  ☆84Updated this week
• cgarciae / treex
  A Pytree Module system for Deep Learning in JAX
  ☆213Updated last year
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆86Updated 2 months ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆303Updated this week
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆152Updated 7 years ago
• titu1994 / tf_fourier_features
  Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.
  ☆42Updated 4 years ago
• xl0 / lovely-numpy
  NumPy arrays, ready for human consumption
  ☆66Updated 7 months ago
• p3732 / gpumap
  GPU-Parallelized UMAP
  ☆52Updated 5 years ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆123Updated 6 months ago
• timsainb / ParametricUMAP_paper
  Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…
  ☆150Updated 4 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆104Updated 5 years ago