flxsosa / ProgramSearch
A public repository for "Write, Execute, Assess: Program Synthesis With a REPL" project by Kevin Ellis, Max Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, and Armando Solar-Lezama. Presented at NeurIPS 2019.
☆36Updated 4 years ago
Alternatives and similar repositories for ProgramSearch:
Users that are interested in ProgramSearch are comparing it to the libraries listed below
- Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis☆38Updated last year
- ☆43Updated last year
- A scalable abstraction learning library☆75Updated last year
- Code for Learning to Synthesize Programs as Interpretable and Generalizable Policies in NeurIPS 2021☆34Updated 2 years ago
- ☆24Updated 4 years ago
- Code for "Learning Compositional Rules via Neural Program Synthesis"☆59Updated 4 years ago
- Learning programs with the Exploration-Compression algorithm☆9Updated 6 years ago
- ☆25Updated 3 years ago
- ☆24Updated 2 years ago
- ☆18Updated 3 years ago
- neural sketch project, currently in generative regex, list transformation (deepcoder), and text editing (robustfill) domains☆24Updated 4 years ago
- HOUDINI: Lifelong Learning as Program Synthesis☆48Updated 4 years ago
- Code for 'Emergent Symbols through Binding in External Memory'.☆20Updated last year
- Official code for paper: INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving☆37Updated 2 years ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆26Updated 3 years ago
- A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic re…☆157Updated 3 years ago
- ☆34Updated 3 months ago
- ☆39Updated 3 months ago
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆18Updated 2 years ago
- ☆20Updated 2 years ago
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 3 years ago
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆24Updated last year
- Neurosymbolic Library☆21Updated this week
- Language-annotated Abstraction and Reasoning Corpus☆82Updated last year
- PyTorch implementation for the Deep Symbolic Simplification Without Human Knowledge☆14Updated 3 years ago
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆35Updated 10 months ago
- Karel dataset for program synthesis and program induction☆78Updated 7 years ago
- Metal: Learning a Meta-Solver for Syntax-Guided Program Synthesis☆15Updated 5 years ago
- A tool for obtaining LTL formulas from a sample of positive and negative words.☆22Updated 2 years ago
- ☆41Updated last year