Machine Learning functions inside Java objects
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Updated
Jan 17, 2018
Machine Learning functions inside Java objects
CSGNet for voxel based input
Rust simulations using 2AFC triads to learn formal systems as typed first-order term rewriting systems
NRAM Implementation
Automatically Composing Representation Transformations as a Means for Generalization
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.
Metagol - an inductive logic programming system
Rust simulations using input/output examples to learn typed first-order term rewriting systems that perform list routines.
☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
A library for program induction and learning representations.
An inductive logic programming system
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