Reor is a private AI personal knowledge management tool. Each note is saved as a Markdown file to a “vault” directory on your machine.
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Tag: machine learning
Machine Learning in Linux: Alpaca – chat with local AI models
Alpaca is open source software which lets you chat with local AI models.
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Best Free and Open Source Alternatives to Adobe Firefly
Adobe Firefly uses generative AI and simple text prompts to generate images. We recommend the best free and open source alternatives.
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Machine Learning in Linux: ocrs – modern OCR engine
ocrs is a Rust library and CLI tool for extracting text from images, also known as OCR (Optical Character Recognition).
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Machine Learning in Linux: EasyOCR – OCR that reads natural scene text and dense text in documents
EasyOCR is a Python module for extracting text from images.
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Machine Learning in Linux: Surya – multilingual document OCR toolkit adds text recognition
Surya is billed as a multilingual document OCR toolkit. It’s written in Python and published under an open source license.
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PyTensor – Python library that integrates with NumPy
PyTensor is a Python library that allows one to define, optimize/rewrite, and evaluate mathematical expressions
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NeuPy – Python library for Artificial Neural Networks – Deep Learning
NeuPy supports many different types of Neural Networks from a simple perceptron to deep learning models.
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Microsoft Cognitive Toolkit (CNTK) – toolkit for distributed deep learning
The Microsoft Cognitive Toolkit is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph.
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Chainer – framework for neural networks
Chainer is a Python-based deep learning framework aiming at flexibility.
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Theano – numerical computation library for Python
Theano is a numerical Python library that allows you to define, optimize, and evaluate mathematical expressions.
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MXNet – scalable deep learning framework
Apache MXNet is a modern deep learning framework used to train, and deploy deep neural networks.
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Caffe – deep learning framework by BAIR
Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at UC Berkeley.
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Keras – high-level neural networks API, written in Python
Keras has stronger adoption in both the industry and the research community than any other deep learning framework except TensorFlow.
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PyTorch – deep learning framework for fast, flexible experimentation
PyTorch provides libraries for basic tensor manipulation on CPUs or GPUs, a built-in neural network library, model training utilities, and more.
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TensorFlow – open source machine learning framework
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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Machine Learning in Linux: Speech Note
Speech Note lets you take, read and translate notes in multiple languages. It uses Speech to Text, Text to Speech and Machine Translation.
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Machine Learning in Linux: Piper
Piper is billed as a fast, local neural text to speech system. It’s free and open source software written in C++ and Python.
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Machine Learning in Linux: ImaginAIry – Pythonic generation of images
ImaginAIry is Python-based software for generating Stable Diffusion images.
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Machine Learning in Linux: GodMode – AI Chat Browser
GodMode is billed as a dedicated chat browser giving instant access to the full webapps of ChatGPT, Claude 2, Perplexity, Bing, and other AI services.
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