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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Tag: deep learning
Deep Learning with Open Source Python Software
Deep Learning is a subset of Machine Learning that uses multi-layers artificial neural networks to deliver state-of-the-art accuracy.
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fastai – simplifies training fast and accurate neural nets using modern best practices
fastai simplifies training fast and accurate neural nets using modern best practices.
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Elephas – distributed deep learning with Keras and Spark
Elephas brings deep learning with Keras to Spark. Elephas intends to keep the simplicity and high usability of Keras
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TFLearn – deep learning library featuring a higher-level API for TensorFlow
TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
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16 Best Free and Open Source Natural Language Processing Tools
Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.
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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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17 Top Free and Open Source Python Natural Language Processing Tools
Natural language processing (NLP) is an exciting field of computer science, artificial intelligence, and computational linguistics.
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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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