Alternatives and similar repositories for NNetwork

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

• a-lucic / focus
  ☆16Updated 3 years ago
• harris-chris / joint-shapley-values
  Source code for the Joint Shapley values: a measure of joint feature importance
  ☆13Updated 4 years ago
• MachineLearningBCAM / MRCpy
  A Library for Minimax Risk Classifiers
  ☆31Updated last year
• ansonb / FeTA_TMLR
  This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)
  ☆12Updated 3 years ago
• wilson-ye-chen / stein_thinning
  Python package for Stein Thinning
  ☆13Updated 10 months ago
• lmotte / graph-prediction-with-fused-gromov-wasserstein
  Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…
  ☆14Updated 3 years ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated 2 years ago
• zifanzhu / DeepLINK
  Deep Large-Scale Inference UsingKnockoffs
  ☆11Updated 3 years ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• YuGuangWang / HaarPool
  PyTorch Codes for Haar Graph Pooling
  ☆11Updated 2 years ago
• SwiftieH / SpGAT
  Spectral Graph Attention Network with Fast Eigen-approximation
  ☆12Updated 3 years ago
• TAU-MLwell / Set-Tree
  Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)
  ☆10Updated 3 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• guanghelee / iclr20-locally-constant-nets
  "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")
  ☆22Updated 4 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• HarlinLee / nonconvex-GTF-public
  Code for nonconvex graph trend filtering
  ☆10Updated 3 years ago
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆18Updated last year
• uestc-lese / SPGRL
  ☆18Updated 3 years ago
• dh7401 / T-Cal
  ☆10Updated 3 years ago
• SeyoungKimLab / DMGP
  Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …
  ☆12Updated 3 years ago
• aditya-grover / bias-correction-generative
  Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
  ☆12Updated 2 years ago
• ying531 / selcf_paper
  A repository for reproducing the results in Selection by Prediction paper
  ☆15Updated 2 years ago
• wiseodd / lula
  Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).
  ☆20Updated 4 years ago
• hashemghanem / OPU_Graph_Classifier
  Fast graph classifier with optical random features
  ☆12Updated 4 years ago
• tijana-zrnic / active-inference
  ☆16Updated last year
• udellgroup / controlburn
  ☆18Updated 2 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆27Updated 2 years ago
• jiaqima / SODEN
  SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
  ☆13Updated 2 years ago
• lrnzgiusti / can
  Official repository for Cell Attention Networks
  ☆14Updated last year
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 4 years ago