Alternatives and similar repositories for ec-nl

Users that are interested in ec-nl are comparing it to the libraries listed below

• neulab / ToM-Language-Acquisition
  Code used to run experiments for the ICLR 2023 paper "Computational Language Acquisition with Theory of Mind".
  ☆14Updated 2 years ago
• princeton-nlp / XTX
  [ICLR 2022 Spotlight] Multi-Stage Episodic Control for Strategic Exploration in Text Games
  ☆14Updated 3 years ago
• google-deepmind / emergent_in_context_learning
  ☆84Updated 10 months ago
• frankaging / Reason-SCAN
  ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS…
  ☆20Updated 3 years ago
• cambridgeltl / ECNMT
  Emergent Communication Pretraining for Few-Shot Machine Translation
  ☆13Updated 4 years ago
• rowanz / piglet
  PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World [ACL 2021]
  ☆56Updated 3 years ago
• microsoft / DFOL-VQA
  Differentiable First-Order Logic Reasoning for Visual Question Answering
  ☆40Updated 4 years ago
• belindal / LaMPP
  Code for LaMPP: Language Models as Probabilistic Priors for Perception and Action
  ☆37Updated 2 years ago
• rizar / CLOSURE
  Systematic generalization test for CLEVR
  ☆15Updated 5 years ago
• benbogin / glt-grounded-latent-trees-qa
  ☆22Updated 4 years ago
• prajjwal1 / rl_paradigm
  ☆17Updated last year
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆73Updated 6 years ago
• vzhong / silg
  ☆20Updated 3 years ago
• CannyLab / causal_overhypotheses
  Code for Dataset and Benchmarks Submission, Neurips 2022
  ☆13Updated 2 years ago
• Joshua-Ren / Neural_Iterated_Learning
  Pytorch implementation of the paper 'Compositional language emerge in a neural iterated learning' (ICLR 2020).
  ☆15Updated 3 years ago
• henry-prior / multimodal-rl
  Solving reinforcement learning tasks which require language and vision
  ☆32Updated 2 years ago
• ischlag / Fast-Weight-Memory-public
  Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.
  ☆28Updated 4 years ago
• google-deepmind / emergent_communication_at_scale
  ☆38Updated 10 months ago
• wildphoton / Compositional-Generalization
  [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…
  ☆13Updated 2 years ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆33Updated 2 weeks ago
• linlu-qiu / lm-inductive-reasoning
  ☆34Updated last year
• allenai / faithful-nmn
  Evaluating and improving the faithfulness of the interpretations offered by Neural Module Networks
  ☆13Updated 2 years ago
• JerichoWorld / JerichoWorld
  ☆32Updated 3 years ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated last year
• amazon-science / embert
  Code for EmBERT, a transformer model for embodied, language-guided visual task completion.
  ☆57Updated last year
• zhangjiong724 / spectral-RNN
  STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION
  ☆16Updated 7 years ago
• upiterbarg / lintseq
  [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)
  ☆19Updated 4 months ago
• jacobandreas / l3
  Learning with latent language
  ☆51Updated 4 years ago
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆138Updated 2 years ago