Alternatives and similar repositories for LENSR

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

• UCLA-StarAI / Semantic-Loss
  Semantic Loss code
  ☆59Updated 6 years ago
• thuwzy / Neural-Symbolic-and-Probabilistic-Logic-Papers
  A curated paper list on neural symbolic and probabilistic logic.
  ☆128Updated last year
• huaxiuyao / ARML
  ARML for ICLR 2020
  ☆42Updated 4 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆65Updated 4 years ago
• geifmany / selectivenet
  code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"
  ☆46Updated 6 years ago
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆73Updated 3 years ago
• dmelis / SENN
  Self-Explaining Neural Networks
  ☆13Updated last year
• k-r-allen / imp
  infinite mixture prototypes for few-shot learning
  ☆51Updated 2 years ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆49Updated 2 years ago
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆60Updated 3 years ago
• gblackout / NLIL
  Neural Logic Inductive Learning
  ☆42Updated 2 years ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• FerranAlet / modular-metalearning
  ☆77Updated 4 years ago
• capybaralet / REx_code_release
  ☆64Updated 4 years ago
• ml-research / NeSyXIL
  ☆33Updated 3 years ago
• xinshi-chen / l2stop
  Learning To Stop While Learning To Predict
  ☆34Updated 2 years ago
• haebeom-lee / l2b
  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
  ☆101Updated 4 years ago
• WellyZhang / CoPINet
  Learning Perceptual Inference by Contrasting
  ☆27Updated 3 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆63Updated 4 years ago
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆34Updated 4 years ago
• StanfordASL / moca
  ☆32Updated 2 years ago
• ermongroup / subsets
  Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
  ☆55Updated last year
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆41Updated 2 years ago
• IuliaDuta / RSTG
  ☆39Updated 4 years ago
• m-Just / OoD-Bench
  ☆44Updated last month
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• amirkhas / GraphMemoryNet
  Memory-Based Graph Networks
  ☆102Updated 2 years ago
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆72Updated 5 years ago
• igolan / bgd
  Implementation of Bayesian Gradient Descent
  ☆37Updated last year