TensorFlow is by far the most popular machine learning library. It’s used by Google, OpenAI, NVIDIA, Intel, SAP, eBay, Airbus, Uber, Airbnb, Snap, Dropbox and startups alike.
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Tag: deep learning
flair – framework for natural language processing
flair provides neural NLP models, embeddings and training tools for named entity recognition, sequence tagging and text classification.
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PyTorch-NLP – utilities for natural language processing research
PyTorch-NLP supplies text encoders, word vectors, dataset readers, neural network modules, samplers and evaluation metrics.
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Transformers – pretrained models for natural language processing
Transformers provides pretrained models and tools for text classification, generation, translation, summarisation and language analysis.
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NLP Architect – deep learning library for language understanding
NLP Architect provides research models and utilities for natural language understanding, entity recognition and intent extraction.
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AllenNLP – research framework for natural language processing
AllenNLP is a research framework for language understanding with dataset readers, modelling components and experiment configuration.
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GluonNLP – deep learning toolkit for natural language processing
GluonNLP provides neural NLP research utilities, pretrained models, data preprocessing and text model training with MXNet.
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Machine Learning in Linux: LibreTranslate is Self-hosted Machine Translation
LibreTranslate is a machine translation API which is entirely self-hosted. This software lets you use open source machine translation in your projects.
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Machine Learning in Linux: Argos Translate is an Offline Translation Library
Argos Translate is state of the art neural machine translation software. It’s written in Python and published under an open source license.
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Machine Learning in Linux: Audiocraft – audio processing and generation with deep learning
Audiocraft is Python-based software which provides the code and models for MusicGen, a simple and controllable model for music generation.
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Machine Learning in Linux: Spleeter – source separation library
Spleeter is a source separation library with pre-trained models written in Python. It’s free and open source software.
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Machine Learning in Linux: CodeFormer – face restoration
CodeFormer is software which offers blind face restoration. This is freeware.
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Machine Learning in Linux: FBCNN – JPEG artifacts removal
FBCNN (flexible blind convolutional neural network) is software which seeks to remove artifacts from JPEGs while preserving the integrity of the images
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Machine Learning in Linux: Easy Diffusion – a Stable Diffusion UI
Easy Diffusion offers a web user interface for Stable Diffusion. This is cross-platform open source software running on Linux, macOS, and Windows.
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Machine Learning in Linux: StemRoller – separate vocal and instrumental stems from songs
StemRoller is software which lets you separate vocal and instrumental stems from any song with a single click.
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Machine Learning in Linux: Upscayl – image upscaler
Upscayl is GUI software that uses sophisticated AI models to enhance your images by guessing what the details could be.
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Machine Learning in Linux: InvokeAI – a Stable Diffusion Toolkit
InvokeAI is a Stable Diffusion toolkit. This software lets you generate highly detailed images based on text descriptions.
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Machine Learning in Linux: Whisper – automatic speech recognition system
Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data.
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Machine Learning in Linux: Old Photo Restoration
Old Photo Restoration is an academic project that lets you restore old photos. This software uses PyTorch and is written in Python.
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Machine Learning in Linux: Coqui STT – deep-learning toolkit for training and deploying speech-to-text models
Coqui STT (STT) is a deep-learning toolkit for training and deploying speech-to-text models.
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