ppasupat / a9

Related projects: ⓘ

• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆64Updated 8 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 5 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 8 years ago
• vene / sparsemap
  SparseMAP: differentiable sparse structure inference
  ☆110Updated 5 years ago
• Chillee / OpenReviewExplorer
  Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!
  ☆86Updated 3 years ago
• jacobandreas / neuralese
  Translating neuralese
  ☆43Updated 7 years ago
• goodfeli / forgetting
  Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…
  ☆65Updated 10 years ago
• pierrelux / rlss2017
  ☆17Updated 7 years ago
• csc2541-f17 / csc2541-f17.github.io
  ☆12Updated 6 years ago
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆70Updated 5 years ago
• AlexKuhnle / ShapeWorld
  ☆58Updated 3 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆68Updated last year
• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆38Updated 5 years ago
• greentfrapp / cond-shift-neurons
  Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)
  ☆29Updated 6 years ago
• nyu-dl / MultimodalGame
  ☆57Updated 6 years ago
• percyliang / sfig
  SVG/Javascript-based library for creating presentations/figures
  ☆57Updated last year
• uclnlp / adversarial-nli
  Code and data for the CoNLL 2018 paper "Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge."
  ☆25Updated 5 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆111Updated 4 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆71Updated 7 years ago
• jacobandreas / l3
  Learning with latent language
  ☆50Updated 3 years ago
• percyliang / refdb
  Stores paper references, outputs to bib/html, does basic sanity checking on bib entries
  ☆38Updated last month
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆45Updated 6 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆98Updated 8 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 4 years ago
• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆139Updated 6 years ago
• wendazhou / nnet-compression-generalization
  ☆26Updated 5 years ago
• lopezpaz / distillation_privileged_information
  Code for "Unifying distillation and privileged information" (ICLR 2016).
  ☆47Updated 8 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 4 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆48Updated 5 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆66Updated 5 years ago