Alternatives and similar repositories for ec:

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

• flxsosa / ProgramSearch
  A public repository for "Write, Execute, Assess: Program Synthesis With a REPL" project by Kevin Ellis, Max Nye, Yewen Pu, Felix Sosa, Jo…
  ☆37Updated 4 years ago
• tomsilver / policies_logic_programs
  Few-shot Bayesian Imitation Learning with Policies as Logic over Programs
  ☆19Updated 2 weeks ago
• bunelr / GandRL_for_NPS
  Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
  ☆38Updated last year
• taylorwwebb / emergent_symbols
  Code for 'Emergent Symbols through Binding in External Memory'.
  ☆20Updated last year
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆72Updated 2 years ago
• rfeinman / GNS-Modeling
  Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
  ☆26Updated 3 years ago
• mtensor / rulesynthesis
  Code for "Learning Compositional Rules via Neural Program Synthesis"
  ☆59Updated 4 years ago
• mbchang / crl
  Automatically Composing Representation Transformations as a Means for Generalization
  ☆24Updated 5 years ago
• RichardEvans / apperception
  ☆76Updated 3 years ago
• trishullab / near
  ☆24Updated 4 years ago
• rllabmcgill / rlcourse-march-17-hugobb
  rlcourse-march-17-hugobb created by GitHub Classroom
  ☆16Updated 8 months ago
• google-research / crossbeam
  ☆43Updated last year
• trishullab / houdini
  HOUDINI: Lifelong Learning as Program Synthesis
  ☆48Updated 4 years ago
• piantado / LOTlib
  Lanugage of Thought (LOT) models in Python.
  ☆34Updated 4 years ago
• facebookresearch / productive_concept_learning
  Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…
  ☆17Updated 3 years ago
• yobibyte / atarigrandchallenge
  Code for 'The Grand Atari Challenge dataset' paper
  ☆52Updated 7 years ago
• davidenitti / DC
  Probabilistic logic language for inference, planning and learning in static and dynamic domains
  ☆16Updated 8 years ago
• logic-and-learning-lab / ilp-experiments
  Experimentation framework for Popper
  ☆21Updated 10 months ago
• 51alg / TerpreT
  ☆43Updated 7 years ago
• crunchiness / lernd
  Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
  ☆23Updated last year
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• neale / avoiding-side-effects
  Code for reproducing the results from the paper Avoiding Side Effects in Complex Environments
  ☆12Updated 3 years ago
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆72Updated 5 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• hongseok-yang / probprog17
  ☆28Updated 7 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆45Updated last year
• mlb2251 / stitch
  A scalable abstraction learning library
  ☆76Updated last year
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 3 years ago