Alternatives and similar repositories for tutorial-2022-intro-polynomial-nets

Users that are interested in tutorial-2022-intro-polynomial-nets are comparing it to the libraries listed below

• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆124Updated 2 years ago
• nickruggeri / CLAP-interpretable-predictions
  Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".
  ☆14Updated 3 years ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆121Updated last year
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆64Updated 5 years ago
• Graph-Machine-Learning-Group / taming-local-effects-stgnns
  Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)
  ☆23Updated 10 months ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆56Updated 4 months ago
• graphbench / package
  The GraphBench package.
  ☆23Updated last month
• lcosmo / DGM_pytorch
  ☆55Updated 3 years ago
• ZIYU-DEEP / Awesome-Information-Bottleneck
  This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
  ☆388Updated last year
• YannDubs / Neural-Process-Family
  Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
  ☆228Updated last year
• xuesongwang / Neural-Process-Family
  ☆11Updated 2 years ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆69Updated 8 years ago
• gravins / TG-ODE
  Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
  ☆21Updated 9 months ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆143Updated 2 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆76Updated 3 years ago
• gtegner / mine-pytorch
  Mutual Information Neural Estimation in Pytorch
  ☆351Updated last year
• SamuelGabriel / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆133Updated 2 weeks ago
• CUAI / Riemannian-Residual-Neural-Networks
  [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
  ☆23Updated 2 years ago
• IBM / TM-GCN
  Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
  ☆29Updated 4 years ago
• hezgit / TDM
  Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023
  ☆14Updated 2 years ago
• vdblm / CausalPFN
  CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
  ☆88Updated 2 months ago
• boschresearch / Continuous-Recurrent-Units
  ☆69Updated 2 years ago
• loeweX / AmortizedCausalDiscovery
  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
  ☆222Updated 3 years ago
• ege-erdogan / awesome-weight-space-learning
  Awesome papers on weight-space learning
  ☆35Updated 3 weeks ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆120Updated 7 months ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆50Updated 6 years ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆470Updated 5 months ago
• gdasoulas / LipschitzNorm
  Repository for the ICML 2021 paper: https://arxiv.org/abs/2103.04886
  ☆13Updated 4 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• SashaMalysheva / Pytorch-VAE
  This is an implementation of the VAE (Variational Autoencoder) for Cifar10
  ☆73Updated 4 years ago