Search Results for "word processor python" - Page 5
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Showing 255 open source projects for "word processor python"
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Texthero
Text preprocessing, representation and visualization from zero to hero
Texthero is a python package to work with text data efficiently. It empowers NLP developers with a tool to quickly understand any text-based dataset and it provides a solid pipeline to clean and represent text data, from zero to hero. -
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SageMaker TensorFlow Serving Container
A TensorFlow Serving solution for use in SageMaker
SageMaker TensorFlow Serving Container is an a open source project that builds docker images for running TensorFlow Serving on Amazon SageMaker. Some of the build and tests scripts interact with resources in your AWS account. Be sure to set your default AWS credentials and region using aws configure before using these scripts. Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles... -
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FARM
Fast & easy transfer learning for NLP
FARM makes Transfer Learning with BERT & Co simple, fast and enterprise-ready. It's built upon transformers and provides additional features to simplify the life of developers: Parallelized preprocessing, highly modular design, multi-task learning, experiment tracking, easy debugging and close integration with AWS SageMaker. With FARM you can build fast proofs-of-concept for tasks like text classification, NER or question answering and transfer them easily into production. Easy fine-tuning... -
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AliceMind
ALIbaba's Collection of Encoder-decoders from MinD
This repository provides pre-trained encoder-decoder models and its related optimization techniques developed by Alibaba's MinD (Machine IntelligeNce of Damo) Lab. Pre-trained models for natural language understanding (NLU). We extend BERT to a new model, StructBERT, by incorporating language structures into pre-training. Specifically, we pre-train StructBERT with two auxiliary tasks to make the most of the sequential order of words and sentences, which leverage language structures at the... -
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the... -
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(Un)colored
Next generation desktop rich content editor that saves documents
...The toolbar appears when you select a portion of text, documents tabs & main menu when you move your cursor at the top of the window. Simple as that. (Un)colored includes classic & standard word processor tools like Bold, Italic, Links, etc., but also Web-oriented tools like videos from YouTube, Vimeo, Dailymotion, and even Twitch livestreams. You can even include any type of embed content to your documents like SoundCloud tracks, Facebook posts, etc. thanks to the Embed Content tool. -
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wordle
Create a wordcloud for a Git repository
Create a wordcloud for a Git repository. Can also create wordclouds from directories of source files or a single source file. wordle uses tox to automate testing and packaging, and pre-commit to maintain code quality. Tests are run with tox and pytest. To run tests for a specific Python version, such as Python 3.6. The documentation is powered by Sphinx. A local copy of the documentation can be built with tox. Type annotations are checked using mypy. Run mypy using tox. -
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BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events... -
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PORORO
Platform of neural models for natural language processing
pororo performs Natural Language Processing and Speech-related tasks. It is easy to solve various subtasks in the natural language and speech processing field by simply passing the task name. Recognized speech sentences using the trained model. Currently English, Korean and Chinese support. Get vector or find similar words and entities from pretrained model using Wikipedia. -
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Synonyms
Chinese synonyms, chat robot, intelligent question and answer toolkit
Chinese Synonyms for natural language processing and understanding. Better Chinese synonyms, chatbot, intelligent question and answer toolkit. synonymsCan be used for many tasks in natural language understanding, text alignment, recommendation algorithms, similarity calculation, semantic shifting, keyword extraction, concept extraction, automatic summarization, search engines, etc. Print synonyms in a friendly way for easy debugging. "Synonyms Cilin" was compiled by Mei Jiaju and others in... -
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Keras TCN
Keras Temporal Convolutional Network
TCNs exhibit longer memory than recurrent architectures with the same capacity. Performs better than LSTM/GRU on a vast range of tasks (Seq. MNIST, Adding Problem, Copy Memory, Word-level PTB...). Parallelism (convolutional layers), flexible receptive field size (possible to specify how far the model can see), stable gradients (backpropagation through time, vanishing gradients). The usual way is to import the TCN layer and use it inside a Keras model. The receptive field is defined as the... -
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TNCLinux2021
TNCLinux-2021.2-x64 3D CompizFusion Kernel 5.10.18
TNCLinux 2021-2 x64 Base: Ubuntu 20.04.2 LTS Long term support Architecture: Amd64 / x64 Bit processor support Legacy-Uefi Language: Multilanguage / Turkish Kernel: 5.10.18 Xanmod Modify Kernel Popular applications, essential for first and end users, are integrated. Xanmod modified fast kernel is used. It constantly receives updates with the system. It has multimedia, office, system and customized content and applications. -
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EQuilibrium V
Two word describes it: BEAUTIFUL and STABLE
The beauty of EQuilibrium V is in its simplicity and easy use. It is designed mainly for laptops and users who are on Internet. EQuilibrium is the distribution (operating system) that works with online services (like ChromeOS) and gives its maximum at this segment. Google, Facebook, YouTube, Twitter, different online contents like videos, music and games work with no problems. General information: - Kernel 5.4 - Plasma 5.18.5 LTS - KDEf 5.68 - KDE app 19.12 - EQexperience4 - EQ... -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models... -
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SentEval
A python tool for evaluating the quality of sentence embeddings
SentEval is a standardized toolkit for evaluating sentence embeddings across a wide spectrum of downstream tasks and probing tests. It defines a simple interface—provide an encoder function from sentences to vectors—and then runs consistent training/evaluation loops for tasks like sentiment, entailment, paraphrase, and semantic textual similarity. The suite also contains linguistic probing tasks that illuminate what properties embeddings capture, such as tense, word order, or syntactic... -
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AraSuite
AraSuite, a set of tools for augmentative and adaptative communication
...On the one hand, TICO is a tool for the design and execution of interactive communication boards. Communication boards are highly used in augmentative and alternative communication (AAC) environments. On the other hand, AraWord is a word processor that combines pictograms and text to help disabled people. -
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EasyArch
Arch Linux Installer ISO
A simple yet full featured Archlinux installer ISO. Minimum system requirements- Processor - 2 core 64 bit Ram - 1 GB HDD space - 10 GB If you are looking for another linux distro, then you are at wrong place, this is not a new or separate distribution. It is just a live ISO to provide simple and easy way to get Archlinux up and running in very little time and with or without internet connection. Yes, you read it right, you can install Archlinux without internet with this ISO.... -
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SageMaker Chainer Containers
Docker container for running Chainer scripts to train and host Chainer
...Amazon SageMaker utilizes Docker containers to run all training jobs & inference endpoints. The Docker images are built from the Dockerfiles specified in Docker/. The Docker files are grouped based on Chainer version and separated based on Python version and processor type. The Docker images, used to run training & inference jobs, are built from both corresponding "base" and "final" Dockerfiles. The "base" Dockerfile encompasses the installation of the framework and all of the dependencies needed. All "final" Dockerfiles build images using base images that use the tagging scheme. -
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DNSGen
Intelligent DNS permutation tool for subdomain discovery
DNSGen is an open source DNS name permutation tool designed primarily for security researchers and penetration testers who need to discover potential subdomains during reconnaissance and attack surface mapping. It analyzes existing domain names and generates numerous intelligent variations that may represent valid subdomains within an organization’s infrastructure. These generated permutations help identify hidden or unlisted services that may not appear in standard DNS queries or public... -
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stage0
A set of minimal dependency bootstrap binaries
This is a set of manually created hex programs in a Cthulhu Path to madness fashion. Which only have the goal of creating a bootstrapping path to a C compiler capable of compiling GCC, with only the explicit requirement of a single 1 KByte binary or less. Additionally, all code must be able to be understood by 70% of the population of programmers. If the code can not be understood by that volume, it needs to be altered until it satisfies the above requirement. -
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textgenrnn
Easily train your own text-generating neural network
With textgenrnn you can easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. A modern neural network architecture that utilizes new techniques as attention-weighting and skip-embedding to accelerate training and improve model quality. Train on and generate text at either the character-level or word-level. Configure RNN size, the number of RNN layers, and whether to use bidirectional RNNs. Train on any generic input text... -
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G-code processor
Modify and visualise your G-code
G-code Processor is a set of python functions which help to modify and visualise G-code. It allows to have variables in G-code, makes transformations of the coded structures, helps to eliminate the tilt of the substrate and, at last, plots the result. -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
...Now you've setup your pipeline, you may want to ensure that some functions run deterministically. Wrap any code that's random, with fork_rng and you'll be good to go. Now that you've computed your vocabulary, you may want to make use of pre-trained word vectors to set your embeddings. -
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GL02Les Alpagas software is refactored by the team The Hot Turtles and the team Les Alpagas initially constructed the code. The software is written in Javascript and compatible with the Node.js environment in view of future integration with Tweets information system. The software is for users aiming to create social impact reports, using data obtainable via the Twitter API, however, the data returned by the API is raw and complicated to use. The software makes raw data readable...
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MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
MUSE is a framework for learning multilingual word embeddings that live in a shared space, enabling bilingual lexicon induction, cross-lingual retrieval, and zero-shot transfer. It supports both supervised alignment with seed dictionaries and unsupervised alignment that starts without parallel data by using adversarial initialization followed by Procrustes refinement. The code can align pre-trained monolingual embeddings (such as fastText) across dozens of languages and provides standardized...
