Python supercharged for the fastai library
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Updated
Jun 2, 2024 - Jupyter Notebook
Python supercharged for the fastai library
Really High Efficient File Optimizer will losslessly recompress files as much as possible according to their mime-types
🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.
Open source library for parallel finite element analysis.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
The REST API and execution engine for the Didact Platform.
frances is an advanced cloud-based text mining digital platform that leverages information extraction, knowledge graphs, natural language processing (NLP), deep learning, and parallel processing techniques. It has been specifically designed to unlock the full potential of historical digital textual collections.
Efficient Resource Sharing across Heterogeneous Computing
This repository is used to store files and perform the file processing for lexical analysis.
ReLM is the soft-core multiprocessor technology based on the unique memory architecture, enabling users to build a high-performance microcontroller on a relatively small FPGA board.
C++ class for signal processing, async network programming, concurrency, parallel computing and multithreading
Concurrency, Multithreading and Parallel Computing in Java
Video and Image Processing and Computer Vision Library in pure JavaScript (Browser and Node.js)
Disk-Based Single-Writer, Multiple-Reader In-Process File Sharing
C++ light-weight Thread Pool library
Concurrent programming practicles explanation
Exploring R for high-performance data analytics, including memory management, GPU computing, parallel processing, benchmarks, case studies, and comparisons with Python.
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