Search Results for "compiler python linux" - Page 84
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Showing 17861 open source projects for "compiler python linux"
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Optimizing Brainfuck compiler
Optimizing Brainfuck compiler with Brainfart extensions
C source for an optimizing Brainfuck compiler, with four back ends. Optionally adds the “Brainfart” language extensions, which includes constants, if/else, indirection, and variable aliases. Also C source for a Brainfuck interpreter. -
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XEROX SIGMA 7 XPL Compiler
XPL Compiler for the XEROX SIGMA 7
XPL Compiler for the XEROX SIGMA 7 written at Lawrence Livermore Labs in 1971. This compiler ran under the GORDO Operating System. This project includes a SLR(K) grammar analyzer written by Frank DeRemer. Both the compiler and grammar analyzer have been ported to run under UNIX. -
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Modcomp XPL Compiler
XPL Compiler for the Modcomp III/IV and Classic
This is a self compiling XPL compiler for the Modcomp III/IV and Classic. The XPL language is described in the book "A Compiler Generator" by McKeeman, Horning and Wortman. This project has two compilers. The first was written in the late 1970's and released to the Modcomp Users Group (MUSE). The second compiler is an extension of the first that includes a Common Sub-Expression optimizer. XPL was used to write the HAL/S compiler for NASA about the same time this XPL compiler was being... -
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MMGeneration
MMGeneration is a powerful toolkit for generative models
MMGeneration has been merged in MMEditing. And we have supported new-generation tasks and models. MMGeneration is a powerful toolkit for generative models, especially for GANs now. It is based on PyTorch and MMCV. The master branch works with PyTorch 1.5+. We currently support training on Unconditional GANs, Internal GANs, and Image Translation Models. Support for conditional models will come soon. A plentiful toolkit containing multiple applications in GANs is provided to users. GAN... -
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Alphafold
Open source code for AlphaFold
This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and published in Nature. For simplicity, we refer to this model as AlphaFold throughout the rest of this document. Any publication that discloses findings arising from using this source code or the model parameters should cite the AlphaFold paper. Please also refer to the Supplementary Information for a detailed description of the method. You can use... -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to... -
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HP Linux Imaging and Printing
Hewlett-Packard's Linux imaging and printing software
The Hewlett-Packard Linux Imaging and Printing Project provides a unified single and multi-function connectivity solution for Linux. For support and help, please visit https://launchpad.net/hplip -
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texturize
Generate photo-realistic textures based on source images
Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture. A command-line tool and Python library to automatically generate new textures similar to a source image or photograph. It's useful in the context of computer graphics if you want to make variations on a theme or expand the size of an existing texture. This software is powered by deep learning technology, using a combination... -
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nmon for Linux
Linux performance monitoring on-screen or to CSV file
nmon is short for Nigel's Performance Monitor It either shows you the stats on-screen updating once a second or saves the data to a CSV file for later analysis and graphing. For details see the homepage ==> http://nmon.sourceforge.net Please use the latest version. The new version "njmon" outputs JSON format that a lot of tools use these days. It integrates well with saving data directly to InfluxDB and graphing with Grafana. -
Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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Orchest
Build data pipelines, the easy way
Code, run and monitor your data pipelines all from your browser! From idea to scheduled pipeline in hours, not days. Interactively build your data science pipelines in our visual pipeline editor. Versioned as a JSON file. Run scripts or Jupyter notebooks as steps in a pipeline. Python, R, Julia, JavaScript, and Bash are supported. Parameterize your pipelines and run them periodically on a cron schedule. Easily install language or system packages. Built on top of regular Docker container images... -
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ECMA-55 Minimal BASIC compiler
BASIC Compiler and Interpreter
John's Mutant contains several projects. The current project is an ECMA-55 Minimal BASIC compiler for Linux systems using AMD64 compatible CPUs. You can download the MinimalBASIC compiler source in the Files section. -
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Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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whiteboxgui
An interactive GUI for WhiteboxTools in a Jupyter-based environment
The whiteboxgui Python package is a Jupyter frontend for WhiteboxTools, an advanced geospatial data analysis platform developed by Prof. John Lindsay (webpage; jblindsay) at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. WhiteboxTools can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image... -
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ChatGenTitle
A paper title generation model fine-tuned on the LLaMA model
ChatGenTitle: A paper title generation model fine-tuned on the LLaMA model using information from millions of arXiv papers. -
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LightFM
A Python implementation of LightFM, a hybrid recommendation algorithm
LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback, including efficient implementation of BPR and WARP ranking losses. It's easy to use, fast (via multithreaded model estimation), and produces high-quality results. It also makes it possible to incorporate both item and user metadata into the traditional matrix factorization algorithms. It represents each user and item as the sum of the latent representations... -
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OGB
Benchmark datasets, data loaders, and evaluators for graph machine
The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. OGB datasets are automatically downloaded, processed, and split using the OGB Data Loader. The model performance can be evaluated using the OGB Evaluator in a unified manner. OGB is a community-driven initiative in active development. We expect the benchmark datasets to evolve. OGB provides a diverse set of challenging and realistic benchmark datasets that... -
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peco
Simplistic interactive filtering tool
peco (pronounced peh-koh) is based on a python tool, percol. percol was darn useful, but I wanted a tool that was a single binary, and forget about python. peco is written in Go, and therefore you can just grab the binary releases and drop it in your $PATH. peco can be a great tool to filter stuff like logs, process stats, find files, because unlike grep, you can type as you think and look through the current results. Demos speak more than a thousand words! Here's me looking for a process on my... -
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smclarify
Fairness aware machine learning. Bias detection and mitigation
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models. A facet is column or feature that will be used to measure bias against. A facet can have value(s) that designates that sample as "sensitive". Bias detection and mitigation for datasets and models. The label is a column or feature which is the target for training a machine learning model. The label can have value(s) that designates that sample as having a "positive" outcome. A bias measure is a function... -
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Image Downloader
Download images from Google, Bing, Baidu
Crawl and download images using Selenium Using python3 and PyQt5. Supported Search Engine: Google, Bing, Baidu. Keywords input from the keyboard or input from line separated keywords list file for batch process. Download image using a customizable number of threads. Fully supported conditional search (eg. filetype:, site:). Switch for Google safe mode. Proxy configuration (socks, HTTP). CMD and GUI ways of using are provided. -
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textacy
NLP, before and after spaCy
textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals, tokenization, part-of-speech tagging, dependency parsing, etc., delegated to another library, textacy focuses primarily on the tasks that come before and follow after. -
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qBittorrent
A free and reliable P2P BitTorrent client
An advanced and multi-platform BitTorrent client with a nice Qt user interface as well as a Web UI for remote control and an integrated search engine. qBittorrent aims to meet the needs of most users while using as little CPU and memory as possible. -
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qaqarot
Quantum Computer Library for Everyone
The Blueqat project has been renamed the Qaqarot Project because of the branding strategy of blueqat inc. -
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T81 558
Applications of Deep Neural Networks
Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network... -
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python-projects
Unveil captivating games, elegant GUI apps, and potent utilities
"Join the magic of 'Python-Projects' by MRayanAsim: Unveil captivating games, elegant GUI apps, and potent utilities with a touch of machine learning enchantment. Awaken Python's full potential and spread the magic by starring the repository today!" 🚀🐍✨
