Search Results for "ml"

Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics.

XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. The library is written in C/C++ and designed for maximum portability, efficiency, and performance, leveraging platform-specific instruction sets (e.g., NEON, AVX, SIMD) for optimized execution. ...

...Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud.

...It comes with a large number of modules, encompassing the whole modeling cycle: creating computational models, simulating and analyzing them, visualizing the information, in order to improve the models. All using community standards, such as SED-ML, SBML and MIRIAM.

This project provides a compiler that compiles ML into code suitable for execution on small targets, including embedded ones. The compiler generates both C and Forth.

OpenPoplog is a multi-language, incrementally-compiled virtual machine-based development environment with its own extensive teaching and support material, supporting the languages Pop-11, Prolog, Common Lisp and ML on Unix, VMS, Linux and Windows.

Standard ML of Sønder Tranders.

The MyNOS project aims at developing a new and different operating system, based on high-level languages. MyNOS will be based on the OCaml bytecode interpreter. We'd like to explore microkernel architecture and new language definition too.

GMetaDOM is a collection of librares, each library providing a DOM implementation. Each DOM implementation is generated automatically by means of XSLT stylesheets.

CSpe is a library allowing partial function application in C (kindof like closures in ML languages) : From a function to be specialized and some of its arguments, it dynamically generates a new function pointer, which can then be called transparently

mGTK is glue code to make GTK+ accessible from Standard ML. This provides a convenient way for SML programmers to add GUI features to applications. mGTK should work on all platforms where both Moscow ML and GTK+ are supported.

hazel aims to be a practical programming language for development of large software projects. Its application domain is similar to that of C++. Its syntax is similar to that of C.

Framework for software component integration, interoperability and adoptability through a XML based vocabulary: Software Component Integration Mark-up Language (SCIML)

This project is a lightweight server written in Ocaml for highly interactive webpages or even online browser based games. The server can already be used as a fast frontend to a MySQL database. The software should work on *nix and windows.

C-Prime, or C' in abbreviation, is simply an attempt to add some fun and modern features to C without sacrificing speed or power. We intend to make "down and dirty programming" a "more enjoyable" experience.

Starlang is a simple byte-compiled imperative programming language.

Fifth is a exciting project to develop a new programming language that has all the capabilityits of C to develop low-level drivers, but uses a postfix syntax and has many high-level features from LISP and ML.

Native code compiler for Standard ML 97 and associated libraries and tools.

Objective Caml library over Oracle OCI8, with some higher level features.

...It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. GCC plugin is licenced under GPLv3 licensed, while future LLVM plugins will be licensed under BSD license. Alchemist plugin is in a preliminary stage (based on MILEPOST ML plugin), so collaborations are very welcome!