cair / tmuLinks
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is writ…
☆158Updated 3 months ago
Alternatives and similar repositories for tmu
Users that are interested in tmu are comparing it to the libraries listed below
Sorting:
- Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetli…☆147Updated 8 months ago
- PyNeuraLogic lets you use Python to create Differentiable Logic Programs☆302Updated last week
- An explainable inference software supporting annotated, real valued, graph based and temporal logic☆311Updated 3 weeks ago
- Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep R…☆172Updated 5 months ago
- ☆248Updated 5 months ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆43Updated 2 years ago
- Hopular: Modern Hopfield Networks for Tabular Data☆312Updated 3 years ago
- Check if you have training samples in your test set☆64Updated 3 years ago
- Tsetlin Machine for Logical Learning and Reasoning With Graphs☆48Updated 3 months ago
- Fast Text Classification with Compressors dictionary☆150Updated 2 years ago
- High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters☆27Updated 3 years ago
- Deep relational learning through differentiable logic programming.☆112Updated 3 months ago
- Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.☆58Updated last month
- Library that contains implementations of machine learning components in the hyperbolic space☆143Updated last year
- A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.☆234Updated last year
- A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin, ViT and more.☆297Updated last year
- Python code accompanying the book "An Introduction to Tsetlin Machines".☆47Updated 4 years ago
- A curated list of Tsetlin Machine research☆17Updated 3 years ago
- Automatic gradient descent☆215Updated 2 years ago
- Code implementing "Efficient Parallelization of a Ubiquitious Sequential Computation" (Heinsen, 2023)☆97Updated last year
- Symbolic API for model creation in PyTorch.☆68Updated 8 months ago
- Hierarchical Associative Memory User Experience☆105Updated 3 weeks ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆259Updated 2 years ago
- Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge☆163Updated 4 months ago
- Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`☆47Updated last year
- ☆164Updated last year
- Rax is a Learning-to-Rank library written in JAX.☆335Updated 3 months ago
- A pure-functional implementation of a machine learning transformer model in Python/JAX☆181Updated 7 months ago
- Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All…☆172Updated 2 years ago
- Unofficial JAX implementations of deep learning research papers☆159Updated 3 years ago