Search Results for "bingo python code" - Page 62
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Showing 2609 open source projects for "bingo python code"
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Pikon-Stelarium interface
Pikon-Stelarium interface to use with azimuthal mount
This is a full project to make an software-drived azimuthal mount for the Pikon telescope, it can be use for others telescope. This project include : . Some other parts to print to adapt to the Pikon . Python code for raspberry Needed parts for "as it" use : . 1 Raspberry (model A suit well) . 3 motors steppers . 3 steppers drivers . 1 BNO055 (the one from adafruit was used) . 1 Pikon driver . 1 GPS module Sofware requirement : . raspbian . python 3 . some python libraries -
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EasyUpload
EasyUpload Server Accepts Images from Android to be Uploaded to a PC
...Download the server project from here: http://easyupload.sourceforge.net The simplicity of using EasyUpload helps to avoid using Bluetooth for image transfer. The project just works for images and later it can work with any type of files. The source code of both the client and server apps are available in this GitHub page: https://github.com/ahmedfgad/AndroidFlask The project is documented in a Heartbeat tutorial titled "Uploading images from Android to a Python-based Flask server" available here: https://heartbeat.fritz.ai/uploading-images-from-android-to-a-python-based-flask-server-691e4092a95e Logo image from flaticon.com by phatplus (https://www.flaticon.com/authors/phatplus) -
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Platformer 2D Godot Game
Test project with a 2D platform game developing in Godot 3.1
Test project with a 2D platform game developing in Godot 3.1, reusable mechanics for: State Machine, basics AI, Android Games. -
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UniCC LALR(1) Parser Generator
Parser generator, targetting C, C++, Python, JavaScript, JSON and XML
UniCC (UNIversal Compiler-Compiler) compiles an augmented grammar definition into a program source code that parses the described grammar. Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML. -
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wxCppPy
Applciation c++/wxWidgets pilotable via python grâce à pybind11.
...Elle est décomposée en trois projets: 1) API : Le code d'une API et les accès à la GUI 2) API_Py : L'export de l'API vers python3. Il génère le module wxcpppy 3) GUI : L'interface graphique qui permet d'ouvrir les scripts python. Pour compiler wxCppPy rendez-vous dans la section code. Le lisez-moi est complet. -
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Code Catalog in Python
Algorithms and data structures for review for coding interview
code-catalog-python serves as a grab-bag of small, readable Python examples that illustrate common algorithms, data structures, and utility patterns. Each snippet aims to be self-contained and easy to study, with clear inputs, outputs, and the essential logic on display. The catalog format lets you scan for an example, copy it, and adapt it to your use case without wading through a large framework. -
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BLESS
An SSH Certificate Authority that runs as an AWS Lambda function
BLESS is an SSH Certificate Authority that runs as an AWS Lambda function and is used to sign SSH public keys. SSH Certificates are an excellent way to authorize users to access a particular SSH host, as they can be restricted for a single-use case, and can be short-lived. Instead of managing the authorized_keys of a host, or controlling who has access to SSH Private Keys, hosts just need to be configured to trust an SSH CA. BLESS should be run as an AWS Lambda in an isolated AWS account.... -
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CakeChat
CakeChat: Emotional Generative Dialog System
CakeChat is a backend for chatbots that are able to express emotions via conversations. The code is flexible and allows to condition model's responses by an arbitrary categorical variable. For example, you can train your own persona-based neural conversational model or create an emotional chatting machine. Hierarchical Recurrent Encoder-Decoder (HRED) architecture for handling deep dialog context. Multilayer RNN with GRU cells. The first layer of the utterance-level encoder is always... -
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TGAN
Generative adversarial training for generating synthetic tabular data
...TGAN is a tabular data synthesizer. It can generate fully synthetic data from real data. Currently, TGAN can generate numerical columns and categorical columns. TGAN has been developed and runs on Python 3.5, 3.6 and 3.7. Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid interfering with other software installed in the system where TGAN is run. For development, you can use make install-develop instead in order to install all the required dependencies for testing and code listing. ... -
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pyfolio
Portfolio and risk analytics in Python
pyfolio is a Python library for performance and risk analysis of financial portfolios developed by Quantopian Inc. It works well with the Zipline open source backtesting library. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm. Here's an example of a simple tear sheet analyzing a strategy. Quantopian also offers a fully managed service for professionals that includes... -
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Walle 2.0
Walle 2.0 web
...Get through server management, grayscale release. Advanced gitlab-like user management mode. Online order application, review, grayscale release, real-time websocket. Walle allows users to release code and finally can not only choose jenkins! Support various web code releases, release and rollback of php, java, python, go and other codes can be completed with one click through the web. walle is a freely configurable project, more user-friendly, high-value, an open source online deployment system that supports git, multi-user, multi-language, multi-project, and multi-environment simultaneous deployment. -
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automl-gs
Provide an input CSV and a target field to predict, generate a model
Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model definition interface to getting an optimized model and data transformation pipeline in multiple popular ML/DL frameworks, with minimal Python dependencies (pandas + scikit-learn + your framework of choice). automl-gs is designed for citizen data scientists and engineers without a deep statistical background under the philosophy that you don't need to know any modern data preprocessing and machine learning engineering techniques to create a powerful prediction workflow. -
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easy12306
Automatic recognition of 12306 verification code
Automatic recognition of 12306 verification code using machine learning algorithm. Identify never-before-seen pictures. -
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MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
MUSE is a framework for learning multilingual word embeddings that live in a shared space, enabling bilingual lexicon induction, cross-lingual retrieval, and zero-shot transfer. It supports both supervised alignment with seed dictionaries and unsupervised alignment that starts without parallel data by using adversarial initialization followed by Procrustes refinement. The code can align pre-trained monolingual embeddings (such as fastText) across dozens of languages and provides standardized... -
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PythonRobotics
Python sample codes and textbook for robotics algorithms
PythonRobotics is a Python code collection and textbook for learning robotics algorithms through readable examples. It covers practical topics such as localization, mapping, path planning, path tracking, control, SLAM, and autonomous navigation. The project is written to make each algorithm’s core idea easy to understand, rather than hiding the logic behind large frameworks. -
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porttree
Show dependences of a FreeBSD port as a pseudo graphic tree
For a given FreeBSD port, determine its dependences using any combination of the FETCH_, EXTRACT_, PATCH_, BUILD_, LIB_, RUN_ and TEST_DEPENDS, and show them as a pseudo graphical tree. Use back references for cross-connections. -
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LaueTools
open source python packages for X-ray MicroLaue Diffraction analysis
LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools -
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django-rest-auth
This app makes it extremely easy to build Django powered SPA's
This app makes it extremely easy to build Django powered SPA's (Single Page App) or Mobile apps exposing all registration and authentication-related functionality as CBV's (Class Base View) and REST (JSON). Tivix rebuilt a NATO software system to organize and coordinate rescue missions for submarines in distress across the globe. The United Nations Partner Portal (UNPP) is a web application built for a group of UN agencies to simplify their business processes and streamline collaboration... -
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LGButton
A fully customisable subclass of the native UIControl
A fully customizable subclass of the native UIControl which allows you to create beautiful buttons without writing any line of code. A fully customizable subclass of the native UIControl which allows you to create beautiful buttons without writing any line of code. You can add images/icons to your button, icons are taken from different ready-to-use font icons collections, images can be imported directly from your project assets folder. Icons are managed by SwiftIconFont integration, so you... -
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ShadowSocksShare
Python ShadowSocks framework
This project obtains the shared ss(r) account from the ss(r) shared website crawler, redistributes the account and generates a subscription link by parsing and verifying the account connectivity. Since Google plus will be closed on April 2, 2019, almost all the available accounts crawled before come from Google plus. So if you are building your own website, please keep an eye on the updates of this project and redeploy using the latest source code. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This... -
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PythonQt
Dynamic Python binding for Qt Applications
NOTE: PythonQt has been moved to https://github.com/MeVisLab/pythonqt PythonQt is a dynamic and lightweight script binding of the Qt framework to the Python language. It can be easily embedded into Qt applications and makes any QObject derived object scriptable via Python without the need of wrapper code generation. -
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Codepad
A free source code editor and Notepad replacement for Windows
A free source code editor and Notepad replacement for Windows. Source code on GitHub: https://github.com/altarawy/codepad -
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Easy-TensorFlow
Simple and comprehensive tutorials in TensorFlow
The goal of this repository is to provide comprehensive tutorials for TensorFlow while maintaining the simplicity of the code. Each tutorial includes a detailed explanation (written in .ipynb) format, as well as the source code (in .py format). There is a necessity to address the motivations for this project. TensorFlow is one of the deep learning frameworks available with the largest community. This repository is dedicated to suggesting a simple path to learn TensorFlow. In addition to the... -
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning
...Advanced sections touch on neural networks and distributed computing topics, helping you bridge from basics to production-adjacent workflows. The collection is suitable for self-paced study, quick reference, or as teaching materials in workshops. By combining narrative explanations with executable code, it shortens the path from theory to working prototypes.
