Alternatives and similar repositories for SelectiveNet

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

• salesforce / NeuralBayes
  ☆24Updated last month
• Holmeswww / PPOGAN
  ☆24Updated last year
• seilna / CNN-Units-in-NLP
  Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNs
  ☆26Updated 6 years ago
• jmhessel / multi-retrieval
  Code for Unsupervised Discovery of Multimodal Links in Multi-Image/Multi-Sentence Documents
  ☆30Updated 4 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 6 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• HyeonwooNoh / VQA-Transfer-ExternalData
  Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
  ☆19Updated 6 years ago
• simonjisu / pytorch_tutorials
  some tutorials for blog: simonjisu.github.io
  ☆23Updated 4 years ago
• Zeta36 / random-memory-adaptation
  Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"
  ☆24Updated 7 years ago
• samiraabnar / Reflect
  Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"
  ☆14Updated 5 years ago
• philipperemy / keras-snail-attention
  SNAIL Attention Block for Keras.
  ☆16Updated 5 years ago
• TimDettmers / transformer-xl
  ☆64Updated 5 years ago
• mpatacchiola / Y-AE
  Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…
  ☆52Updated 4 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• anandsaha / nips.cocob.pytorch
  PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.
  ☆37Updated 7 years ago
• cambridgeltl / parameter-factorization
  Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer
  ☆39Updated 4 years ago
• HyeonwooNoh / vqa_task_discovery
  Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
  ☆31Updated 6 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• ItzikMalkiel / MTAdam
  MTAdam: Automatic Balancing of Multiple Training Loss Terms
  ☆36Updated 4 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• ART-Group-it / GASP
  GASP! Dataset - Generating Abstracts of Scientific Papers from Abstracts of Cited Papers
  ☆9Updated 5 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• gaurav104 / TextClassification
  Repository of state of the art text/documentation classification algorithms in Pytorch.
  ☆10Updated 6 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 6 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆26Updated 7 years ago
• mega002 / annotator_bias
  The accompanying code for "Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understandin…
  ☆21Updated 5 years ago
• google-deepmind / slim-dataset
  Datasets used to train Spatial Language Integrating Model (SLIM) in the ‘Encoding Spatial Relations from Natural Language’ paper.
  ☆36Updated 6 years ago