Search Results for "example" - Page 15
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Showing 512 open source projects for "example"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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pyspread
Python spreadsheet application
...Dependencies + Python (>=2.7, <3.0) + numpy (>=1.1.0) + wxPython (>=2.8.10.1, Unicode version required) + matplotlib (>=1.1.1) + pycairo (>=1.8.8) Optional dependencies + python-gnupg (>=0.3.0, for opening own files without approval) + xlrd (>=0.9.2, for loading Excel® files) + xlwt (>=0.9.2, for saving Excel files, pyspread >=v0.3.0 required) + jedi (>=0.8.0, for tab completion and context help in the entry line, pyspread >=v0.3.0 required) + basemap (>=1.0.7, for the weather example pys file) -
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ECS:Python
Light-weight C++ library for embedding Python into C++
...ECS:Python is light-weight and easy to use. To get started all you need to do from your project is #include "EcsPython.h", and link to the EcsPython library. Included with ECS:Python is a demo project (/example) written to assist developers in understanding how to use the API. ECS:Python requires a Python distribution to be installed on your system. Python can be downloaded from: www.python.org/download What's new in v3.0: * Fixed x64 pointer types. * Added CI and unit tests. * Cleaned up project structure and code formatting... -
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reNamer
Rename files depending on their .extension
...This is how you can rename your files: - For every .extension in the target folder reNamer sets unique enumeration. - Randomly - With your set of parameters. Example, name=FILE, start counting from=10, step=1 Finally It is simple application but I hope it would be as useful to someone as it has been useful to me! -
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...If you want destination column 2 is "Simon", please set column 2 to Simon. 7. (Optional) select "Encoding", the default is "GB2312" 8. Click “Generate” button. The destination file in this example will be: 0, Simon 204, Simon Note: ‘[‘, ‘]’, ‘#’ will skip that line to translate format.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Resume Match
A tool to match resumes with job descriptions
...But, it works and it might help. No installation required. Download the executable . 2018-12-27 Update: 1. The app has been reported to not work in many scenarios, for example, some Mac users, some Linux users, difficulty proper viewing in Acer >15" laptops... 2. For this reason, if for any reason you can't use the app, please visit the following link to use it in browser (webapp). 3. Updated versions to resolve above mentioned issues and with improved functionalities coming soon... https://pywizard.com/webapps/resumematch -
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mzitu
Python crawler that downloads image galleries and analyzes titles
...Using text segmentation and frequency analysis, the project can create a word cloud representing common keywords found in the dataset. This makes the repository both a scraping example and a small data analysis experiment built around the collected content. Overall, mzitu serves as a learning-oriented implementation of Python web scraping, data processing, and visualization techniques. -
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ECDICT
Free English to Chinese Dictionary Database
ECDICT is a comprehensive English–Chinese dictionary dataset packaged for developers who need an offline, queryable lexicon for applications, NLP, or educational tools. It aggregates headwords, phonetics, parts of speech, translations, and example information into formats that are easy to integrate. The project provides multiple distribution forms—commonly SQLite/CSV/StarDict-style files—so you can choose the right storage and query approach for your app. Because it’s offline and local, it avoids network latency and licensing hurdles that come with calling proprietary dictionary APIs. ... -
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Zhao
A compilation of "The Princely Party Relationship Network"
zhao is a repository that consolidates research, data, and insights related to Zhao, which is likely an individual’s research collection, notes, or curated resources on deep learning, AI, or computational topics (name and content context suggest specialized study). The project may include code examples, experiment results, references to academic papers, mathematical notes, and supporting scripts to explore specific ML methods, benchmarks, or theoretical findings. Because it aggregates... -
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pyNETVARS
Python module for network variables for CoDeSys PLCs
...Blocks of (global) variables, that propagates over networks like TCP, UDP or UDP Multicast aso. This python module supports parsing, receiving and sending those blocks (with UDP Multicast only). With this you can add for example a Raspberry Pi Sensor to your automation network without special Network clients on your PLC. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Universe Starter Agent
A starter agent that can solve a number of universe environments
The universe-starter-agent repository is an archived OpenAI codebase designed as a starter reinforcement-learning agent that can interact with and solve tasks in OpenAI’s Universe environment platform. Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements... -
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Siamese and triplet learning
Siamese and triplet networks with online triplet mining in PyTorch
Siamese and triplet learning is a PyTorch implementation of Siamese and triplet neural network architectures designed for learning embedding representations in machine learning tasks. These types of networks learn to map images into a compact feature space where the distance between vectors reflects the similarity between inputs. Such embeddings are commonly used in applications like face recognition, image similarity search, and few-shot learning. The repository demonstrates how to train... -
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Quantum Honeycomp
Interactive program to calculate electronic properties in graphene
...The code uses the tight binding approximation and it is able to stude in a 0D, 1D and 2D geometries, orbital and magnetic fields, intrinsic and extrinsic spin-orbit coupling, sublattice imbalance, and interactions at the mean field level. The most recent version can be found in https://github.com/joselado/quantum-honeycomp Example videos https://www.youtube.com/watch?v=8gO1yRmwgAs https://www.youtube.com/watch?v=FQlkqAW7Nhs https://www.youtube.com/watch?v=R7Kt3_DHTtM https://www.youtube.com/watch?v=tQKG_h0FaTM -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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BlockSparse
Efficient GPU kernels for block-sparse matrix multiplication
...The repo implements both blocksparse and blockwise convolution/transpose-convolution primitives, with support for preparing, executing, and verifying those ops on NVIDIA GPUs. In addition to low-level kernels, it includes wrapper code for integrating with TensorFlow, example scripts (e.g. a transformer on the enwik8 dataset), transformer logic that uses blocksparse operations, and debugging helpers. -
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Pulsar framework
Event driven concurrent framework for Python
Event-driven concurrent framework for Python. Pulsar's goal is to provide an easy way to build scalable network programs. In the Hello world! webserver example above, many client connections can be handled concurrently. Pulsar tells the operating system (through epoll or select) that it should be notified when a new connection is made, and then it goes to sleep. Pulsar uses the asyncio module from the standard python library and it can be configured to run in multi-processing mode. The http client maintains connections alive (by default 15 seconds) and therefore any requests that you make within a session will automatically reuse the appropriate connection. ... -
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Microblog
Microblogging application developed in my Flask Mega-Tutorial series
Microblog is a Flask-based social blogging application that serves as the companion example project to the author’s Flask tutorial book, demonstrating how to build a production-ready web application with features typical of modern social systems. The project includes user registration and login, password hashing, profile editing, and avatar support, but it goes deeper by illustrating how to implement following/follower relationships, posting short messages, and displaying personalized feeds. ... -
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HubCommander
A Slack bot for GitHub organization management, and other things too
...You can add additional commands by creating plugins. For example, you can create a plugin to invite users to your organizations. -
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CordovaGui is a gui frontend for Apache Cordova CLI. It is possible to create a hybrid mobile app using CordovaGui, you can add plugins, platforms, debug your app and build releases. With CordovaGui you can use html, css and javascript preprocessors in easy way. Every time you debug, build or open the index.html file in your browser using CordovaGui, your source files are compiled immediately.
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auto_ml
Automated machine learning for analytics & production
auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on single dictionaries, roughly the process you'd likely follow to deploy the trained model. Before you go any further, try running the code. Load up some data (either a DataFrame, or a list of dictionaries, where each dictionary is a row of data). -
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Flasky
Companion code to my O'Reilly book "Flask Web Development"
Flasky is a comprehensive example web application built with the Flask microframework that demonstrates best practices for developing real-world Python web applications, covering everything from project structure and configuration to database models, authentication, and deployment. It serves as both a tutorial and sample codebase that walks developers through building a full-featured web application, including user registration and login, role-based permissions, user profiles, and content creation. ... -
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relay_control
easy control for the masla relay devices
...The USB interface of the devices makes a connection easy. Written in python and use of pygtk and pyserial it can be used flexible on several platforms. And it's just a example to control the relay-devices to help you write your own program. -
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Py-backwards
Python to python compiler that allows you to use Python 3.6 features
py-backwards is a transpiler that takes modern Python code (with newer syntax) and converts it to older Python versions so you can run it in legacy environments. For example, if you want to use f-strings, type annotations, or other Python 3.x niceties but have to deploy on a machine that only has an older interpreter, py-backwards rewrites your code to an equivalent, earlier syntax. It does this by parsing the source into an abstract syntax tree (AST), applying transformation rules, and emitting compatible code. ... -
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IOA AM code
Implementation of the core routine for AM analysis from the IOA AMWG
The example software does not represent an analysis method and requires correct inputs parameters and data, and interpretation of the results. All users should have a suitable understanding of the IOA AMWG document on which this code is based. No user support is offered, although feedback may may be directed to WTAMCONSULT (at) IOA.ORG.UK. -
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HZDR
Scripts and programs (e. g. THz-Shaker) for work in HZDR
...A special thing is the wrapped CsAPI for GaGe CompuScope cards (e. g. Octopus) into Python: https://sourceforge.net/p/hzdr/code/HEAD/tree/thzshaker/device/scope/csapi.py An example of usage can be found here: https://sourceforge.net/p/hzdr/code/HEAD/tree/thzshaker/device/scope/dualchannel/api.py -
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Algorithms in Python
Data Structures and Algorithms in Python
Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. The repository is particularly useful for people preparing for competitive programming, job interviews, or building a foundational...
