cair / awesome-tsetlin-machineLinks
A curated list of Tsetlin Machine research
☆16Updated 2 years ago
Alternatives and similar repositories for awesome-tsetlin-machine
Users that are interested in awesome-tsetlin-machine are comparing it to the libraries listed below
Sorting:
- Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetli…☆154Updated 2 weeks ago
- An explainable inference software supporting annotated, real valued, graph based and temporal logic☆292Updated 2 weeks ago
- Deep relational learning through differentiable logic programming.☆108Updated last month
- [Archived] A scalable differentiable probabilistic Datalog engine, with Rust☆73Updated 3 years ago
- Probabilistic programming system for fast and exact symbolic inference☆82Updated last year
- A Julia package for Adaptive Resonance Theory (ART) algorithms.☆28Updated 11 months ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆43Updated 2 years ago
- ☆72Updated 3 years ago
- Symbolic Reinforcement Learning using Inductive Logic Programming☆62Updated 2 years ago
- Lightweight Prolog-like system designed to smoothly interoperate with deep learning tools☆29Updated last week
- Python wrapper around several Prolog engines. Hoping to make symbolic AI a part of standard AI toolkit.☆86Updated 3 years ago
- Flexible Inference for Predictive Coding Networks in JAX.☆53Updated last week
- ☆37Updated 10 months ago
- An inductive logic programming system☆236Updated last month
- C. Hocquette and A. Cropper, Relational program synthesis with numerical reasoning, AAAI23.☆17Updated 2 years ago
- Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep R…☆173Updated 3 months ago
- Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability☆67Updated last year
- Neuro-symbolic interpretation learning (mostly just language-learning, for now)☆174Updated this week
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆24Updated 2 years ago
- HOUDINI: Lifelong Learning as Program Synthesis☆48Updated 5 months ago
- A domain-specific probabilistic programming language for reasoning about reasoning☆100Updated last month
- A NARS implemented as a GPT model prompted to invoke reasoning steps, with NARS-based memory and control machinery implemented in Python.☆43Updated last year
- Neuro-Symbolic AI Toolkit☆100Updated 2 years ago
- Differentiable probabilistic answer set programming☆26Updated 2 months ago
- The Energy Transformer block, in JAX☆59Updated last year
- Polynomial-time Meta-Interpretive Learning☆128Updated 7 months ago
- Experiments with variational autoencoders in Julia☆17Updated 5 years ago
- Neural Guided Constraint Logic Programming for Program Synthesis☆93Updated 6 years ago
- ☆80Updated 4 years ago
- Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetli…☆145Updated 5 months ago