Search Results for "compiler python linux" - Page 81
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Showing 12074 open source projects for "compiler python linux"
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TensorFlow Ranking
Learning to rank in TensorFlow
... will provide a convenient open platform for hosting and advancing state-of-the-art ranking models based on deep learning techniques, and thus facilitate both academic research and industrial applications. We provide a demo, with no installation required, to get started on using TF-Ranking. This demo runs on a colaboratory notebook, an interactive Python environment. Using sparse features and embeddings in TF-Ranking. -
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ipyvolume
3d plotting for Python in the Jupyter notebook
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL. Create quiver plots (like scatter, but with an arrow pointing in a particular direction). Render in the Jupyter notebook, or create a standalone html page (or snippet to embed in your page). Render in stereo, for virtual reality with Google Cardboard. Animate in d3 style, for instance, if the x coordinates or color of a scatter plots changes. Animations / sequences, all scatter/quiver plot properties can... -
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Spektral
Graph Neural Networks with Keras and Tensorflow 2
... deep learning. Spektral also includes lots of utilities for representing, manipulating, and transforming graphs in your graph deep learning projects. Spektral is compatible with Python 3.6 and above, and is tested on the latest versions of Ubuntu, MacOS, and Windows. Other Linux distros should work as well. The 1.0 release of Spektral is an important milestone for the library and brings many new features and improvements. -
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TF2DeepFloorplan
TF2 Deep FloorPlan Recognition using a Multi-task Network
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab. This repo contains a basic procedure to train and deploy the DNN model suggested by the paper 'Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention'. It rewrites the original codes from zlzeng/DeepFloorplan into newer versions of Tensorflow and Python. -
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TensorFlow Documentation
TensorFlow documentation
An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. -
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Ox: Attribute Grammar Compiling System
Ox is an attribute-grammar evaluator generator.
Ox is an attribute grammar compiling system that augments Lex and Yacc specifications with definitions of synthesized and inherited attributes written in a combination of Ox and C/C++ syntax. From these augmented specifications, Ox generates ordinary Lex and Yacc specifications that build and decorate attributed parse trees. The user can specify parse-tree traversals for easy ordering of side effects such as code generation. Ox handles the tedious and error-prone details of writing code... -
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Robin-Stocks API Library
This is a library to use with Robinhood Financial App
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or... -
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Small Device C Compiler (SDCC)
The Small Device C Compiler (SDCC), targeting 8-bit architectures
SDCC is a retargettable, optimizing standard C (ANSI C89 / ISO C90, ISO C99, ISO C11 / C17, ISO C23) compiler that targets a growing list of architectures: STM8, MCS-51, DS390, HC08, S08, Z80, Z180, R800, Rabbit, SM83, eZ80 in Z80 mode, Z80N, TLCS-90, Padauk PDK14 and PDK15 microprocessors. There also is incomplete support for the Microchip PIC16 and PIC18 and the Padauk PDK13 and MOS 6502. -
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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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Dennix
Dennix is a unix-like hobbyist operating system written from scratch
Dennix is a Unix-like operating system with a monolithic kernel written in C++ and a POSIX-compliant userland. It is a fully self-hosting operating system, meaning it can compile itself from within its own environment. Dennix includes a basic windowing system, dynamic linker, and terminal interface, and supports ELF binaries, memory management, and multitasking. As a hobbyist OS, it offers an impressive amount of functionality and polish, making it a notable example in the field of... -
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DALL-E in Pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image
Implementation / replication of DALL-E (paper), OpenAI's Text to Image Transformer, in Pytorch. It will also contain CLIP for ranking the generations. Kobiso, a research engineer from Naver, has trained on the CUB200 dataset here, using full and deepspeed sparse attention. You can also skip the training of the VAE altogether, using the pretrained model released by OpenAI! The wrapper class should take care of downloading and caching the model for you auto-magically. You can also use the... -
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unit-minions
AI R&D Efficiency Improvement Research: Do-It-Yourself Training LoRA
"AI R&D Efficiency Improvement Research: Do-It-Yourself Training LoRA", including Llama (Alpaca LoRA) model, ChatGLM (ChatGLM Tuning) related Lora training. Training content: user story generation, test code generation, code-assisted generation, text to SQL, text generation code. -
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tslab
Interactive JavaScript and TypeScript programming with Jupyter
tslab is an interactive programming environment and REPL with Jupyter for JavaScript and TypeScript users. You can write and execute JavaScript and TypeScript interactively on browsers and save results as Jupyter notebooks. -
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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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Headscale-WebUI
A simple Headscale web UI for small-scale deployments
A simple Headscale web UI for small-scale deployments. -
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four keys
Platform for monitoring the four key software delivery metrics
Through six years of research, the DevOps Research and Assessment (DORA) team has identified four key metrics that indicate the performance of software delivery. Four Keys allows you to collect data from your development environment (such as GitHub or GitLab) and compile it into a dashboard displaying these key metrics. Four Keys works well with projects that have deployments. Projects with releases and no deployments, for example, libraries, do not work well because of how GitHub and GitLab... -
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Tributary
Streaming reactive and dataflow graphs in Python
Tributary is a library for constructing dataflow graphs in Python. Unlike many other DAG libraries in Python (airflow, luigi, prefect, dagster, dask, kedro, etc), tributary is not designed with data/etl pipelines or scheduling in mind. Instead, tributary is more similar to libraries like mdf, loman, pyungo, streamz, or pyfunctional, in that it is designed to be used as the implementation for a data model. One such example is the greeks library, which leverages tributary to build data models... -
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Soplos Linux Tyson
Soplos Linux is a Debian Testing-based distribution with the Plasma 6
... to upgrade to newer versions of Windows. ✅ A Software Center tailored for Plasma is in development, built with Qt and Python, to simplify application management. ✅ Future support planned for proprietary drivers to improve hardware compatibility. Soplos Linux Tyson aims to deliver a simple yet powerful experience without compromising flexibility, with plans to expand with dedicated repositories and more user-friendly tools. ✨ Give Soplos Linux Tyson a try and discover a new way to use your -
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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!" 🚀🐍✨ -
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SMC - The State Machine Compiler
Translates state machine into a target programming language.
SMC takes a state machine stored in a .sm file and generates a State pattern in 14 programming languages. Includes: default transitions, transition args, transition guards, push/pop transitions and Entry/Exit actions. See User Manual for more info. -
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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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VALL-E
PyTorch implementation of VALL-E (Zero-Shot Text-To-Speech)
We introduce a language modeling approach for text to speech synthesis (TTS). Specifically, we train a neural codec language model (called VALL-E) using discrete codes derived from an off-the-shelf neural audio codec model, and regard TTS as a conditional language modeling task rather than continuous signal regression as in previous work. During the pre-training stage, we scale up the TTS training data to 60K hours of English speech which is hundreds of times larger than existing systems.... -
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Paddle Quantum
Paddle Quantum
Paddle Quantum (量桨) is the world's first cloud-integrated quantum machine learning platform based on Baidu PaddlePaddle. It supports the building and training of quantum neural networks, making PaddlePaddle the first deep-learning framework in China. Paddle Quantum is feature-rich and easy to use. It provides comprehensive API documentation and tutorials help users get started right away. Paddle Quantum aims at establishing a bridge between artificial intelligence (AI) and quantum computing...
