Search Results for "pyscripter python 2" - Page 13
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Showing 2641 open source projects for "pyscripter python 2"
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning... -
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Scripting Language Bindings
A port of WFOPT to the several scripting languages
This project contains bindings for various scripting languages to the Wheefun Options Parsing Library. It is meant to provide parity with the C implementation so .NET languages can take advantage of WFOPT. For more information, please see the main page. -
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agglo
Multi facets CASE/AGL for easy project developments
Agglo is a CASE (Computer Aided Software Engineering) or AGL (Atelier Génie Logiciel), whose aim is to facilitate installation ans use of various tools (either existing opensource tools, or agglo tools), in several facets of project development: - requirements management - unit tests - automated integration tests - toolkit for various languages (cpp, c, python, shell, xsl) other facets are to come ultimately: - coverage tests - planification - integration with hudson - code quality... -
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pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Python 3 code to reproduce the figures in the books Probabilistic Machine Learning: An Introduction (aka "book 1") and Probabilistic Machine Learning: Advanced Topics (aka "book 2"). The code uses the standard Python libraries, such as numpy, scipy, matplotlib, sklearn, etc. Some of the code (especially in book 2) also uses JAX, and in some parts of book 1, we also use Tensorflow 2 and a little bit of Torch. See also probml-utils for some utility code that is shared across multiple notebooks. -
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PY-Nodes
Code for finding nodes in a material using first-principle approach.
PY-Nodes is a Python 3 based code designed for searching nodes (bands-degenerate points) associated with two or more bands in a given material using the first-principle approach. This code is helpful in efficient searching of the nodes present in the topological semimetals such as- Weyl semimetals, Dirac semimetals & nodal-line semimetals. The code is presently interfaced with the WIEN2k package. The algorithm of the code is based on the Nelder-Mead’s function-minimization approach. The code... -
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Sneedacity
Audio Editor
... in Python, Perl, or any language that supports named pipes. Nyquist Very powerful built-in scripting language that may also be used to create plug-ins. Editing multi-track editing with sample accuracy and arbitrary sample rates. Accessibility for VI users. Analysis and visualization tools to analyze audio or other signal data. -
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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. Some models force input data to be particular type during prediction phase... -
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Texar-PyTorch
Integrating the Best of TF into PyTorch, for Machine Learning
Texar-PyTorch is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar-PyTorch was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. A mirror... -
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pyRelativity
To derive, explain, calculate Theory of Relativity in Python 2.x
To derive and explain and calculate Albert Einstein’s Theory of Relativity in Python 2.x. -
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LaserBlast
A Laser Cannon Strategy Game
Why did I write this program, and why in Python? Well there were really two reasons. First I wanted to quickly test various game rules and strategies. Python and pygames made prototyping quick and easy. This is actually about the twentieth version of the game. Second I wanted to try the new match/case statements that were added in Python 3.10. I found lots of uses for match/case and I really like it. -
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Tensorflow Transformers
State of the art faster Transformer with Tensorflow 2.0
Imagine auto-regressive generation to be 90x faster. tf-transformers (Tensorflow Transformers) is designed to harness the full power of Tensorflow 2, designed specifically for Transformer based architecture. These models can be applied on text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages. Images, for tasks like image classification, object detection, and segmentation. Audio, for tasks like... -
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CIPS-3D
3D-aware GANs based on NeRF (arXiv)
3D-aware GANs based on NeRF (arXiv). This repository contains the code of the paper, CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis. The problem of mirror symmetry refers to the sudden change of the direction of the bangs near the yaw angle of pi/2. We propose to use an auxiliary discriminator to solve this problem. Note that in the initial stage of training, the auxiliary discriminator must dominate the generator more than the main discriminator does... -
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Evt Calendar
Moved to https://codeberg.org/andybalaam/evtcalendar
Moved to https://codeberg.org/andybalaam/evtcalendar -
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TensorFlow Backend for ONNX
Tensorflow Backend for ONNX
Open Neural Network Exchange (ONNX) is an open standard format for representing machine learning models. ONNX is supported by a community of partners who have implemented it in many frameworks and tools. TensorFlow Backend for ONNX makes it possible to use ONNX models as input for TensorFlow. The ONNX model is first converted to a TensorFlow model and then delegated for execution on TensorFlow to produce the output. This is one of the two TensorFlow converter projects which serve different... -
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..., mostrando algunas diferencias con el Pseudocódigo Castellano Clásico, que incluye ciertas palabras clave obtenidas como resultado de un estudio, seleccionadas como preferidas por los estudiantes. Permite la traducción de algoritmos entre los diferentes lenguajes de Pseudocódigo, así como la traducción del código a Python 2. MultiPseudo también permite la programación y desarrollo de algoritmos en Python 2. Disponible una versión en Java con uso de Jython y otra versión Javascript con uso de Skulpt.
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This application work only on linux. It helps users to compensate duplex printing which is usually not added to printers drivers. So, as I need this printing I had to create one, but wait, thanks to https://github.com/sanousy/gui_pduplex/commits/master/README.md?author=dmpalyvos , where I forked his great effort, and added GTK-GUI in python.
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CapitalGainsCalc
Converts simple lists of lots and sales into a TXF file
US Tax Forms (1040 Schedule D and 8949 supplemental forms) require that every capital gains sale is listed by line, even if no cost basis or even a 1099-B has been provided to the IRS. Entering this data into tax software like TurboTax is tedious and error prone. Some institutions provide limited export capabilities such as CSV or excel export but this is not easy to translate into tax preparation software. These python scripts convert two simple to generate input files BuyLots.csv... -
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TSNE-CUDA
GPU Accelerated t-SNE for CUDA with Python bindings
This repo is an optimized CUDA version of FIt-SNE algorithm with associated python modules. We find that our implementation of t-SNE can be up to 1200x faster than Sklearn, or up to 50x faster than Multicore-TSNE when used with the right GPU. You can install binaries with anaconda for CUDA version 10.1 and 10.2 using conda install tsnecuda -c conda-forge. Tsnecuda supports CUDA versions 9.0 and later through source installation, check out the wiki for up to date installation instructions. Time... -
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A toolkit for building high-level compound widgets in Python using the Tkinter module. It contains a set of flexible and extensible megawidgets, including notebooks, comboboxes, selection widgets, paned widgets, scrolled widgets and dialog windows. Python megawidgets is Python 3 compatible through the Pmw 2 download. Pmw 1 is destined for Python 2. Both are now accessible through the new pypi compatible package (credits for which go to Andy Robinson and the team at ReportLab).
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gpt-2-simple
Python package to easily retrain OpenAI's GPT-2 text-generating model
A simple Python package that wraps existing model fine-tuning and generation scripts for OpenAI's GPT-2 text generation model (specifically the "small" 124M and "medium" 355M hyperparameter versions). Additionally, this package allows easier generation of text, generating to a file for easy curation, allowing for prefixes to force the text to start with a given phrase. For finetuning, it is strongly recommended to use a GPU, although you can generate using a CPU (albeit much more slowly... -
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Smart Contract Sanctuary
A home for ethereum smart contracts
A home for Ethereum smart contracts verified on Etherscan. This is the index repository for the smart contract sanctuary. Bookmark this repo. Chain-specific sub-repos and the index are updated twice a day. Expect a full, recursive check-out to take 2GB+ disk space. Existing repository but submodules never initialized - checkout submodules and update all chain-specific sub repositories. Contains smart contract sources for various networks, grouped by the first two chars of the contract address... -
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Vamos is an automotive simulation framework with an emphasis on thorough physical modeling and good C++ design. Vamos includes a real-time, first-person, 3D driving application.
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Deletion 44
Match five game
The name of game is "Deletion 44" as it can delete 44 same color neighbor stones at most by copy action. ==Rules== 1. Select a source stone by mouse button clicked. 2. Then, select a target stone that neighbors a source stone (up, down, left, right) by mouse button clicked. 3. If target stones have more than 3 stones as same color in a row (for right or left neighbor) or in a column (for up or down neighbor), copy the color of source stone to target stones. Otherwise, go to step 1. 4... -
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Yet Another Python Sudoku puzzle game
A Sudoku puzzle game
A Sudoku puzzle game written in python, also using wxPython and pyGame.
