#Parallel-computing
Showing 56 of 56 repositories tagged #parallel-computing, ranked by stars
Fast inference engine for Transformer models
Computing with Python functions.
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
Concurrent Python made simple
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
GRASS - free and open-source geospatial processing engine
A tool for running android and iOS appium tests in parallel across devices... U like it STAR it !
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Python bindings for MPI
cuTile Rust provides a safe, tile-based kernel programming DSL for the Rust programming language. It features a safe host-side API for passing tensors to asynchronously executed kernel functions.
Numba extension for compiling Pandas data frames, Intel® Scalable Dataframe Compiler
A unified interface for optimization algorithms and experiments
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
📩 Use web Workers and other Windows through a simple Promise API
A framework for high-performance medical image processing, neural network inference and visualization
MindSpore online courses: Step into LLM
Harmonious distributed data analysis in Rust.
Parallel programming with Python
Parallel Hyperparameter Tuning in Python
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
High Performance Data Processing in Python
A Clojure dataframe library that runs on Spark
Digital Image Correlation & Digital Volume Correlation Library
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.
krABMaga: A modern developing art for reliable and efficient Agent-based Model (ABM) simulation with the Rust language
Companion code for "Modern Computational Finance: AAD and Parallel Simulations" (Antoine Savine, Wiley, 2018)
Distributed Keras Engine, Make Keras faster with only one line of code.
Repository for the book Fast Python - published by Manning
Analysis kit for large-scale structure datasets, the massively parallel way
Header only framework for data analysis in massively parallel platforms.
Scalable and Sustainable Deep Learning via Randomized Hashing
Reactive Network of Operators In Rust. Framework for Parallel and distributed computation inspired from the DataFlow model
Ray Tracing in One Weekend written in Rust
Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.
A High-Performance Data Science Toolkit for the Earth Sciences
High-performance limit order book engine with C++ core and Python SDK. Processes 20M+ msgs/sec with µs latency. Supports real crypto/equity data replay, spread/imbalance/impact analytics, and backtesting of VWAP, TWAP, POV, and market-making strategies with reproducible PnL and risk metrics.
Topology optimization using PETSc: a Python wrapper and extended functionality
Another curated list of Python frameworks
🐉 A lightweight Python-based GPU architecture simulator that demonstrates how parallel threads, registers, memory, and instructions work on a GPU.
Evolution Strategy Library
A SPARQL database, RDF Stream Processing Engine and RDF toolkit, supporting Neurosymbolic Stream Reasoning
Software Environment for High-Performance Simulation and Parallel Visualization
Pragmatic, Productive, and Portable Affinity for HPC
Ordered-concurrently a library for concurrent processing with ordered output in Go. Process work concurrently and returns output in a channel in the order of input. It is useful in concurrently processing items in a queue, and get output in the order provided by the queue.
Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.
resources of FAST-NUCES 2020-2024
Curso diseñado para proporcionar una comprensión muy profunda del Trading Cuantitativo, fusionando los principios de Ingeniería Financiera con el poder de la Inteligencia Artificial, todo implementado en Python. Desarrollarás algoritmos y estrategias avanzadas que aprovechan datos financieros y técnicas de Inteligencia Artificial.
Neuroevolution framework for Python.
Training of Neural Network using Particle Swarm Optimization
NPB-Rust: NAS Parallel Benchmarks in Rust
Julia and Python programs that implement some of the tools described in my book "Stochastic Methods in Asset Pricing" (SMAP), MIT Press 2017 (e.g., the method for computing the price of American call options and the construction of the early exercise premium in the Black-Scholes-Merton framework from section 18.4 in SMAP).
Voxel engine written in rust using wgpu, supporting both native and wasm
Scaling AI made stupid. Accelerate your AI experiments to multi-CPU/multi-node with 3 lines of code.