Pinned Repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
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.
docs
TensorFlow documentation
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
forpy
Forpy - use Python from Fortran
fort_depend.py
A python script to generate dependencies for Fortran projects
Hinton-Coursera-Python
Python version of programming assignments for "Neural Networks for Machine Learning" Coursera course taught by Geoffrey Hinton.
Konnichiwa_Uchuu
Share ideas & resources
Pleiades777's Repositories
Pleiades777/fcs-tool-box
Useful utilities for anything accelerator development related
Pleiades777/fortran-python
Experiments in calling Fortran libraries from Python
Pleiades777/fortran2python
An example of calling Fortran module from Python.
Pleiades777/kdrunoff
Use the kdtree algorithm to remap river runoff from land to ocean. Fortran and Python.
Pleiades777/pyFortran
Test library for trying to call Fortran from python
Pleiades777/pyfortran-1
Learning to wrap fortran in python
Pleiades777/Hinton-Coursera-Python
Python version of programming assignments for "Neural Networks for Machine Learning" Coursera course taught by Geoffrey Hinton.
Pleiades777/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.
Pleiades777/cudarray
CUDA-based NumPy
Pleiades777/Deep_Learning_AI
Pleiades777/FLATPack
Fortran Library, Application, and Toolkit Packages
Pleiades777/langtangen
My notes on and solutions to the book "A Primer on Scientific Programming with Python" by Hans Petter Langtangen.
Pleiades777/ml_da
Evaluating neural network-based surrogates for the forecast model in an ensemble Kalman filter
Pleiades777/neuralnetwork
Simple, parallel, object-oriented Fortran neural network
Pleiades777/phonetic_search
Phonetic search algorithms in Python
Pleiades777/Speech_Processing
Algorithms and methods for processing of speech. Feature extraction, human speech production and perception, pattern recognition for acoustic and language modeling as applied to automatic speech and speaker recognition.
Pleiades777/tensorflow-speech-recognition
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
Pleiades777/toolkit
Fortran and Python toolkit