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audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

b2py

basic_audio_analysis

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

coursera_machine_learning

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.

cudarray

CUDA-based NumPy

deep_learning_ai

deeppy

Deep learning in Python

deepspeech

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.

dialectid_e2e

End to End Dialect Identification using Convolutional Neural Network

docs

TensorFlow documentation

einops

Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)

f2py-examples

Examples of using f2py to get high-speed Fortran integrated with Python easily

fcs-tool-box

Useful utilities for anything accelerator development related

fjordmelt

wrapper to check fortran code on python

flatpack

Fortran Library, Application, and Toolkit Packages

fluxbox

Fluxbox Window Manager (Mirror)

forpy

Forpy - use Python from Fortran

fort_depend.py

A python script to generate dependencies for Fortran projects

forthon

Python wrapper generator for Fortran

fortnn

Neural Networks using Fortran

fortran-fft

A Python module which calls Fortran subroutines to perform a Fast Fourier Transform.

fortran-neural-network

A neural network written in fortran

fortran-neuralnetwork

Simple implementation of a neural network, implemented in fortran.

fortran-python

Experiments in calling Fortran libraries from Python

fortran-to-python

Comparison of the various ways of calling Fortran libraries in Python

fortran2python

An example of calling Fortran module from Python.

free-spoken-digit-dataset

A free audio dataset of spoken digits. Think MNIST for audio.

fypp

Python powered Fortran preprocessor