Neuralisp is a modular machine learning framework for Common Lisp, focused on deep learning models. It offers a high-performance tensor library, various neural network layers, activation functions,…

Little Computer 3 (LC-3) virtual machine

LLM training in simple, raw C/CUDA

The APL programming language (a subset thereof) compiling to Common Lisp.

Grok open release

Griffin MQA + Hawk Linear RNN Hybrid

Large World Model -- Modeling Text and Video with Millions Context

Large language model code completion for Emacs

Distribute and run LLMs with a single file.

Yuan 2.0 Large Language Model

Seq2Tree model for Solving Math Word Problems

tool for working with conllu files in CL

Numpy like array object for common lisp

multi-user common lisp repl

[EMNLP'24] CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

GTK4/Libadwaita/WebKit2 bindings for Common Lisp.

Computer Algebra, Physics and Differential Geometry in Clojure.

A Clojure network REPL that provides a server and client, along with some common APIs of use to IDEs and other tools that may need to evaluate Clojure code in remote environments.

A tensor decomposition library for Common Lisp which support sparse tensor.

Machine Learning Toolkit accompanying The Little Learner by Daniel P. Friedman and Anurag Mendhekar

Common Lisp wrapper for llama.cpp (Port of Facebook's LLaMA model in C/C++)

Web server abstraction layer for Common Lisp

Inference Llama 2 in one file of pure C

[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp

A Common Lisp specification, made from the original ANSI specification drafts

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

Emacs AI plugin based on ChatGPT API

SHOP3 Git repository

Prebuilt SBCL binary for Android (Termux)