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Name: ジャニーナアイラヴァタ
Type: User
Company: Phoenirix, Incorporated
Bio: 多文化の健康指向の海洋恋人として、言語技術によるコミュニケーションが私の焦点です.
Location: Gifu, Japan
Name: ジャニーナアイラヴァタ
Type: User
Company: Phoenirix, Incorporated
Bio: 多文化の健康指向の海洋恋人として、言語技術によるコミュニケーションが私の焦点です.
Location: Gifu, Japan
Data manipulation and transformation for audio signal processing, powered by PyTorch
A curated list of awesome Machine Learning frameworks, libraries and software.
Course Files for Complete Python 3 Bootcamp Course on Udemy
About this course: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
CUDA-based NumPy
Deep learning in Python
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.
End to End Dialect Identification using Convolutional Neural Network
TensorFlow documentation
Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)
Examples of using f2py to get high-speed Fortran integrated with Python easily
Useful utilities for anything accelerator development related
wrapper to check fortran code on python
Fortran Library, Application, and Toolkit Packages
Fluxbox Window Manager (Mirror)
Forpy - use Python from Fortran
A python script to generate dependencies for Fortran projects
Python wrapper generator for Fortran
Neural Networks using Fortran
A Python module which calls Fortran subroutines to perform a Fast Fourier Transform.
A neural network written in fortran
Simple implementation of a neural network, implemented in fortran.
Experiments in calling Fortran libraries from Python
Comparison of the various ways of calling Fortran libraries in Python
An example of calling Fortran module from Python.
A free audio dataset of spoken digits. Think MNIST for audio.
Python powered Fortran preprocessor
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.