Lists (3)
Stars
A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).
Arbitrary precision, automatic re-computing real numbers in Common Lisp.
Universal LLM Deployment Engine with ML Compilation
Memory Optimizations for Deep Learning (ICML 2023)
Common Interface to the MILP solvers (e.g. CPLEX, Globi, GLPK, LP_SOLVE) from Common Lisp
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
A tool to deploy Deep Neural Networks on PULP-based SoC's
GLPK backend for the linear-programming library
A full-featured repl implementation designed to work with Roswell
The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for float…
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
A list of awesome compiler projects and papers for tensor computation and deep learning.
OCANNL: OCaml Compiles Algorithms for Neural Networks Learning
Generative AI extensions for onnxruntime
The Superior Lisp Interaction Mode for Emacs
MPI bindings for Common Lisp with many useful extras
#1=(yet another . #1#) common lisp testing library
A polyhedral compiler for hardware accelerators
Polyhedral Parallel Code Generation (source repository: https://repo.or.cz/ppcg.git)
A cost model for compiler performance optimization using deep learning.
A Common Lisp Interface for the Integer Set Library (ISL)
A portable loop optimization framework for Common Lisp