Search Results for "numpy-mkl" - Page 6
Sort By:
Showing 141 open source projects for "numpy-mkl"
View related business solutions-
Go from Data Warehouse to Data and AI platform with BigQueryBigQuery is more than a data warehouse—it's an autonomous data-to-AI platform. Use familiar SQL to train ML models, run time-series forecasts, and generate AI-powered insights with native Gemini integration. Built-in agents handle data engineering and data science workflows automatically. Get $300 in free credit, query 1 TB, and store 10 GB free monthly.
-
Easily Host LLMs and Web Apps on Cloud RunRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
-
1
Purpose of this project is to develop 2D cannon shooting game in Python. Dev environment is Python + PyGame + NumPy + PGU
-
2
A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
-
3
A simple project which attempts to emulate real life in the launching of a trebuchet. Requires a python compiler, and the python modules for math, gtk, pygame, random, and numpy. Please note: this is an early version and is in alpha.
-
4
The scikits.timeseries python module provides classes and functions for manipulating, reporting, and plotting time series of various frequencies. The focus is on convenient data access while leveraging the existing functionality in numpy.
-
Cut Cloud Costs with Google Compute EngineSave on compute costs with Compute Engine. Reduce your batch jobs and workload bill 60-91% with Spot VMs. Compute Engine's committed use offers customers up to 70% savings through sustained use discounts. Plus, you get one free e2-micro VM monthly and $300 credit to start.
-
5
Set of python scripts that can be used for the calculations of equilibrium fractionation factors from experiments and from statistical mechanics theory. python scripts use Scipy/Numpy/Matplotlib/WxPython for calculations, plotting and the GUI
-
6
PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.
-
7
A Python package extending NumPy and SciPy to allow specification of numbers and arrays with physical units.
-
8
PyPlotSuite aims to provide immediate, easy-to-use, GUI tools to display, analyze and create publication-quality 2D plots of 1D data series, images, 2D arrays. This project is based on (and would not exist without) pygtk, matplotlib and numpy.
-
9
Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
-
$300 in Free Credit for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credit—no hidden charges. Test, build, and deploy without risk. Use your credit across the Google Cloud platform to find what works best for your needs. After your credits are used, continue building with free monthly usage products. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
10
QME-DEV Workbench (wxScipy) is a data analysis workbench based on Python, SciPy, Numpy and MatPlotLib(PyLab) and uses wxPython for the GUI. It can be used for non-linear analysis with a large set of experimental or generated data. Load/Acquire / Save/ Gr
-
11
pynpvm is a Python interface to Parallel Virtual Machine (PVM), a portable heterogeneous message-passing system. It requires NumPy as a pre-requisite because the datatype numpy.array is used for message passing.
-
12
PySimpleTable
Lightweight Python 2D table object with column headers
For 2D data objects in Python, you have 3 main options: - Numpy Array - Pandas DataFrame (built on np.array) - SQL table Numpy and Pandas are great for working with a complete set of data, but not very efficient for building up row by row. SQL is good for building up the object row by row, but you have to write SQL and leave the world of Python objects. PySimpleTable tries to find the middle ground with more flexibility than Numpy or Pandas for incrementally building a 2D object without needing to use SQL. ... -
13
Simple Python class for managing tables of data in memory using NumPy. It allows to give names to views of array. The package contains few classes built on top of the basic one to be used as post processing tools for particle optics computations.
-
14
OCFit
Python package for fitting of O-C diagrams.
...For install it, download/clone this repository or download suitable binary file from releases. Not working yet! The first release comming soon... Requirements numpy matplotlib PyAstronomy pymc Installation is possible from source code or using build installation binary file (only for OS Windows). The following procedure is only for installation from the source code. Extract files and go to new-created folder. Running script setup.py the installation will be done: python setup.py install -
15
Freeode
Solve Differential Equations
Freeode is a compiler for the SIML programming language. It is a specialized language to solve differential equations. The compiler creates a python program that uses Numpy and Scipy to do the numerical computations. -
16
ExoPlanet
GUI based toolkit for running common Machine Learning algorithms.
ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. ...
