Search Results for "python sample" - Page 3
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Showing 174 open source projects for "python sample"
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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AWS Toolkit for Visual Studio Code
Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.
...Amazon CodeWhisperer provides inline code suggestions using machine learning and natural language processing on the contents of your current file. Supported languages include Java, Python and Javascript. -
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Professional Services
Common solutions and tools developed by Google Cloud
Professional Services repository is a collection of real-world solutions, tools, and reference implementations developed by Google Cloud’s Professional Services team to address common enterprise challenges. Unlike simple sample repositories, it focuses on production-oriented use cases such as data pipelines, machine learning workflows, infrastructure automation, and security management. The repository contains a wide variety of projects, including tools for validating data migrations,... -
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ChatTTS_colab
One-click deployment (including offline integration package)
ChatTTS_colab is a wrapper project around the ChatTTS model that focuses on “one-click” deployment, especially in Google Colab. It provides an integrated offline bundle and scripts for Windows and macOS so users can run ChatTTS locally without wrestling with complex environment setup. The repository includes Colab notebooks that launch a Gradio-based web UI and expose streaming TTS, making it possible to listen to generated audio as it is produced. A distinctive feature is the “voice gacha”... -
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AgentEvolver
Towards Efficient Self-Evolving Agent System
AgentEvolver is an open-source research framework for building self-evolving AI agents powered by large language models. The system focuses on improving the efficiency and scalability of training autonomous agents by allowing them to generate tasks, explore environments, and refine strategies without heavy reliance on manually curated datasets. Its architecture combines reinforcement learning with LLM-driven reasoning mechanisms to guide exploration and learning. The framework introduces... -
Premier Construction SoftwareRated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
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EKS Best Practices
A best practices guide for day 2 operations
The Amazon EKS Best Practices Guide is a public repository containing comprehensive documentation and guidance for operating production-grade Kubernetes clusters on AWS’s managed service, Amazon EKS. Rather than a code library, it serves as a reference catalogue of patterns, anti-patterns, checklists and architectures across domains such as security, reliability, scalability, networking, cost optimization and hybrid cloud deployments. The repository is maintained by AWS but open to... -
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DreamCraft3D
Official implementation of DreamCraft3D
DreamCraft3D is DeepSeek’s generative 3D modeling framework / model family that likely extends their earlier 3D efforts (e.g. Shap-E or Point-E style models) with more capability, control, or expression. The name suggests a “dream crafting” metaphor—users probably supply textual or image prompts and generate 3D assets (point clouds, meshes, scenes). The repository includes model code, inference scripts, sample prompts, and possibly dataset preparation pipelines. It may integrate rendering or... -
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Opacus
Training PyTorch models with differential privacy
Opacus is a library that enables training PyTorch models with differential privacy. It supports training with minimal code changes required on the client, has little impact on training performance, and allows the client to online track the privacy budget expended at any given moment. Vectorized per-sample gradient computation that is 10x faster than micro batching. Supports most types of PyTorch models and can be used with minimal modification to the original neural network. Open source,... -
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
...These bindings can be significantly faster than full Python implementations; in particular for the multiresolution hash encoding. -
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Dia
A TTS model capable of generating ultra-realistic dialogue
Dia is a neural text-to-speech model designed specifically for generating ultra-realistic dialogue in a single pass. Instead of focusing on isolated sentences or flat narration, it is optimized for conversational audio, complete with natural turn-taking, prosody, and pacing. The model can be conditioned on a reference audio sample, allowing you to control emotion, tone, and other stylistic aspects of the speech. It can also produce nonverbal vocalizations like laughter, coughs, clearing the... -
Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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Bend
A massively parallel, high-level programming language
Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic... -
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StyleTTS 2
Towards Human-Level Text-to-Speech through Style Diffusion
StyleTTS2 is a state-of-the-art text-to-speech system that aims for human-level naturalness by combining style diffusion, adversarial training, and large speech language models. It extends the original StyleTTS idea by introducing a style diffusion model that can sample rich, realistic speaking styles conditioned on reference speech, allowing highly expressive and diverse prosody. The architecture uses a two-stage training process and leverages an auxiliary speech language model to guide... -
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malware-samples
A collection of malware samples and relevant dissection information
This repo is a public collection of malware samples and related dissection/analysis information, maintained by InQuest. It gathers various kinds of malicious artifacts, executables, scripts, macros, obfuscated documents, etc., with metadata (e.g., VirusTotal reports), file carriers, and sample hashes. It’s intended for malware analysts/researchers to help study how malware works, how they are delivered, and how it evolves. -
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DeiT (Data-efficient Image Transformers)
Official DeiT repository
DeiT (Data-efficient Image Transformers) shows that Vision Transformers can be trained competitively on ImageNet-1k without external data by using strong training recipes and knowledge distillation. Its key idea is a specialized distillation strategy—including a learnable “distillation token”—that lets a transformer learn effectively from a CNN or transformer teacher on modest-scale datasets. The project provides compact ViT variants (Tiny/Small/Base) that achieve excellent... -
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OpenCV
Open Source Computer Vision Library
The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials! -
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rx2fits
HF/VHF spectrosopy code for the rx888mk2 direct-sampling receiver
rx2fits is an SDR code for the rx888mk2 direct-sampling receiver that streams spectral data with frequency up to 65 MHz to FITS files. This code is for the direct-sampling input of the receiver, which transmits real samples over USB3 at up to 130 MHz sample rate. rx2fits processes these samples to spectral intensities via a Fourier-transform poly-phase filter bank, which provides spectral resolution approaching the spectral bin width with good stop-band and adjacent-channel rejection. ... -
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ClammingPy
ClammingPy - Light Python-API Documentation in Markdown and HTML
ClammingPy converts a Python class or module into Markdown or HTML for documentation purposes. ClammingPy mainly supports reStructuredText and Epydoc formats. However, docstrings are analyzed with flexibility rather than completeness. Take a look at the `Vehicle` sample class: it illustrates the supported extended format. ClammingPy generates HTML-5 with a high WCAG 2.1 conformity. -
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MCPower
MCPower — simple Monte Carlo power analysis for complex models
...It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario analysis), and Results (interactive charts, exportable tables, and auto-generated Python replication scripts). Supports both standard linear models and mixed-effects models. Additional features include analysis history, configurable scenarios, and built-in documentation. -
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FDM - Fixed Deposit Manager
Manage Your Deposits, Get exepected income in each financial year.
Fixed Deposit Manager (FDM) is a Python-based application designed to help users manage and track their fixed deposit investments. It provides a user-friendly graphical interface for entering, organizing, and analyzing fixed deposit data. -
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lms2fits
Dual-channel spectroscopic receiver using LimeSDR-USB
`lms2fits` is a dual-channel spectroscopic receiver for radio astronomy that employs theLimeSDR's LimeSDR-USB dual-channel transceiver, which in turn employs Lime Microsystems' LMS7002M transceiver chip. These systems allow a frequency-agile (<30 MHz to 3.8 GHz) receiver providing Stokes parameters in dynamic spectra of up to 60 MHz analog bandwidth streamed to a FITS file with three-axis primary table. It runs on linux under .Net. -
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X-Ways Forensics X-Tension API
Code and binaries for creating plugins for X-Ways Forensics
...While C/C++ burdens the programmer with keeping track of what data needs to be released when, both Python and C# handle this task for the programmer. Links: X-Ways Forensics product site: https://www.x-ways.net/forensics/index-m.html X-Ways Forensics API reference: https://www.x-ways.net/forensics/x-tensions/api.html C++ sample project: -
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cfe
Framework for producing web-based database applications
Sophisticated environment for developing web-based applications. It includes lots of handy low-level components including: 1/ mySql interface, including table creation, tables as class, query as iterator 2/ html generation 3/ multi-lingual ability 4/ html form field handling 5/ etc. On top of this is a high-level framework that allows rapid development of database apps including seach/create/display/update, user navigation between related entities and much more. Included, as a... -
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sidmon5.net
Sudden ionospheric disturbance monitor with Stokes data product
This package is a VLF receiver for monitoring VLF transmitter signals for evidence of transients indicating ionospheric disturbances, usually caused by x-ray bursts from the sun. It takes sample pairs from dual-channel sound cards and spectrally processes them to Stokes parameters. Data are plotted as time series and in scatter plots. -
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System Verilog Parser IEEE 1800 LRM
IEEE LRM compliant System Verilog Parser in Java with Python, Tcl API
This parser has been developed to help users to implement their Verilog tool/utility on the top this library. It reads RTL and populates its internal data structures. There are APIs to extract the design information from the database, there are APIs to elaborate every element of the design along with basic expression evaluation capabilities. It has been bundled as an executable JAR file along with a sample application which reads a RTL file(s), elaborates and dumps it back to show the... -
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ChatGPT-Reviewer
Automated pull requests reviewing and issues triaging with ChatGPT
Automated pull requests reviewing and issues triaging with ChatGPT. Create an OpenAI API key here, and then set the key as an action secret in your repository named OPENAI_API_KEY. The ChatGPT reviewer PRs are also getting reviewed by ChatGPT, refer the pull requests for the sample review comments. In order to protect public repositories for malicious users, Github runs all pull request workflows raised from repository forks with a read-only token and no access to secrets. -
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Taylorplot_Neptune
Creation of a Taylorplot for several machine learning models
Here we present the lines of code for creating a taylor plot with python to display several machine learning models. We show the solution for displaying 10 models, but the list and number can be changed simply by modifying the sample list.
