Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
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📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
- distance
- algorithm
- python
- textdistance
Code for running RFdiffusion
This package contains deep learning models and related scripts for RoseTTAFold
Extra blocks for scikit-learn pipelines.
- scikit-learn
- machine-learning
- common-sense
Common Lisp machine learning library.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
- deep-learning
- agriculture
- pytorch
- dataset
Common Lisp Machine Learning Library
[wip] Deep Learning Compiler based on Polyhedral Compiler, Light-weight IRs, and Optimizing Pattern Matcher. (development is on hold)
Examples and code snippets demonstrating common ways of integrating Neon with various frameworks and languages.
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
German small and large versions of GPT2.
- gpt2
- german
- common-crawl
- machine-learning
An AI-assisted commit message generator following common commit conventions. 🤝
A production-quality expert-system shell, written in thoroughly modern Common Lisp.