Search Results for "scipy python 2.7" - Page 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

This will be a place to release tools that have not yet been added to SciPy (or will not be added for whatever reason). Currently an interface to ImageMagick is here.

Traditional but powerful cross-platform calculator. It is written in python and it uses wxWidgets as GUI (project is developed with Boa Constructor). By use of SciPy the vaCalculator can solve linear systems, do math with polynomials, integration etc.

We are trying to create a very complete physics teaching program. So, we would be pleased if you could suggest any improvement or create any module for us. To use any of these sources you need python 2.2, pygame and scipy.

Python feature engineering using NumPy, SciPy, pandas, scikit-learn, Featuretools and Feature-engine. Identifying and extracting features to develop optimized machine learning models.

Ducking is a software who is providing simulation of probable docking between two proteins using rigid body monte carlo method. It is written in python and uses the libraries wxPython, VTK, SciPy and BioPython.

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.

* This project is under development, not fit for end users * The project consists of the infrastructure to remotely control apliances (eg. turn the cofee maker on from a web page) Needed parts: - an arduino uno board (www.arduino.cc). - a circuit board for the relays. - a PC connected to the arduino. - python 2.7 to run the server. - port forwarding to the PC for remote access.

.... Inspiration: I have implemented all of this by looking at the Amazing Code-along by Adrian at PyImageSearch. I have just understood and implemented that. Running the Code: To run the code on your standard Python 3.6 Installation, you must install the dependencies by following this: pip install cmake pip install scipy numpy matplotlib scikit-learn pip install opencv-contrib-python pip install imutils pip install dlib pip install playsound

Phi-2 is a 2.7 billion parameter Transformer model developed by Microsoft, designed for natural language processing and code generation tasks. It was trained on a filtered dataset of high-quality web content and synthetic NLP texts created by GPT-3.5, totaling 1.4 trillion tokens. Phi-2 excels in benchmarks for common sense, language understanding, and logical reasoning, outperforming most models under 13B parameters despite not being instruction-tuned or aligned via RLHF. It performs best...