NeuPy supports many different types of Neural Networks from a simple perceptron to deep learning models.
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NeuPy supports many different types of Neural Networks from a simple perceptron to deep learning models.
Read moreThe Microsoft Cognitive Toolkit is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph.
Read moreChainer is a Python-based deep learning framework aiming at flexibility.
Read moreTheano is a numerical Python library that allows you to define, optimize, and evaluate mathematical expressions.
Read moreApache MXNet is a modern deep learning framework used to train, and deploy deep neural networks.
Read moreCaffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at UC Berkeley.
Read moreKeras has stronger adoption in both the industry and the research community than any other deep learning framework except TensorFlow.
Read morePyTorch provides libraries for basic tensor manipulation on CPUs or GPUs, a built-in neural network library, model training utilities, and more.
Read moreTensorFlow 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.
Read moreCython is an optimising static compiler. This means that it can compile normal Python code without changes (with a few exceptions).
Read moref.lux makes the color of your computer’s display adapt to the time of day, warm at night and like sunlight during the day.
Read moreDesktop Dimmer enables darker-than-dark dimming for internal and external screens.
Read moreRedshift is software that adjusts the computer display’s color temperature based upon the time of day. The program seeks to reduce eye strain as well as insomnia.
Read moregnuplot is a command-driven interactive function plotting program. Plot functions and data points in both 2D and 3D plots in many formats.
Read moreggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics, the idea that you can build every graph from the same few components.
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