Alternatives and similar repositories for example_package:

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

• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆109Updated 3 weeks ago
• TorchDR / TorchDR
  TorchDR - PyTorch Dimensionality Reduction
  ☆96Updated last month
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆167Updated 4 months ago
• alexisthual / fugw
  Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…
  ☆40Updated last week
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆112Updated last week
• koulakis / h-nne
  A fast hierarchical dimensionality reduction algorithm.
  ☆66Updated 4 months ago
• benchopt / template_benchmark
  ☆26Updated last month
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆85Updated last month
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆17Updated last year
• inria-thoth / mlxp
  A framework for conducting machine learning experiments in python
  ☆38Updated 3 months ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆88Updated last year
• HazyResearch / HoroPCA
  Hyperbolic PCA via Horospherical Projections
  ☆70Updated last year
• psanch21 / causal-flows
  ☆53Updated 7 months ago
• scikit-adaptation / skada-bench
  Domain Adaptation benchmark
  ☆23Updated 2 months ago
• crispitagorico / sigkernel
  Differentiable computations for the signature-PDE-kernel on CPU and GPU.
  ☆53Updated 10 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• HHalva / snica
  Code for the paper 'Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA' @ Neurips'21
  ☆18Updated last month
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆58Updated 9 months ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆143Updated 3 years ago
• HHalva / hmnlica
  Code for Hidden Markov Nonlinear ICA
  ☆24Updated 3 years ago
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated 2 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆71Updated 2 years ago
• BGU-CS-VIL / dpmmpythonStreaming
  Python wrapper for the DPMMSubClusterStreaming.jl Julia package.
  ☆14Updated 2 years ago
• MathieuCarriere / tda-tutorials
  A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…
  ☆28Updated last month
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• babylonhealth / neuralTPPs
  ☆29Updated last year