Search Results for "website using python" - Page 51
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Showing 3760 open source projects for "website using python"
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99.99% Uptime for Your Most Critical DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI Studio. Switch between models without switching platforms.
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WeatherUtils
retrieving and plotting weather data
Tools for retrieving the current weather, weather predictions and plotting the past weather: - Python: current and predicted weather for 5 days using a weather API - VB.NET: Plot of Weather Data / Bio Weather Monitor -
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Supercookie
Browser fingerprinting via favicon!
Supercookie uses favicons to assign a unique identifier to website visitors. Unlike traditional tracking methods, this ID can be stored almost persistently and cannot be easily cleared by the user. The tracking method works even in the browser's incognito mode and is not cleared by flushing the cache, closing the browser or restarting the operating system, using a VPN or installing AdBlockers. -
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Image Downloader
Download images from Google, Bing, Baidu
Crawl and download images using Selenium Using python3 and PyQt5. Supported Search Engine: Google, Bing, Baidu. Keywords input from the keyboard or input from line separated keywords list file for batch process. Download image using a customizable number of threads. Fully supported conditional search (eg. filetype:, site:). Switch for Google safe mode. Proxy configuration (socks, HTTP). CMD and GUI ways of using are provided. -
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Learn Prompting
This website is a free, open-source guide on prompt engineering
...Coding is a great skill to learn alongside prompt engineering. We recommend learning Python, as it is a popular language for AI and machine learning. Be among the first to access the certification program as soon as it launches. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Swiple
Swiple enables you to easily observe, understand, validate data
Swiple is an automated data monitoring platform that helps analytics and data engineering teams seamlessly monitor the quality of their data. With automated data analysis and profiling, scheduling and alerting, teams can resolve data quality issues before they impact mission critical resources. Experience hassle-free integration with Swiple's zero-infrastructure and zero-code setup. Seamlessly incorporate data quality checks into your existing workflows without any coding or infrastructure... -
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EmilyEditor
General-purpose editor using subset of HTML5 as storage format
Emily is a easy-to-use WYSIWYG editor intended for general use. Emily is small in size but will be big in functionality. This version, Emily 0.9, is a "proof of concept" version. It is not intended for serious use. -
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Bot on Anything
Large model-based chatbot builder that can quickly integrate AI models
Bot on Anything is a versatile open-source AI chatbot builder that lets developers connect large language models such as ChatGPT, Claude, and Gemini to virtually any messaging platform, website, or interface with minimal configuration. At its heart, the project abstracts away the glue logic between AI model APIs and disparate application “channels,” enabling the same bot logic to run in Slack, Telegram, Gmail, enterprise tools, web UIs, or command-line terminals. Configuration is handled... -
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Configuration Backup (ConfiBack)
Project for backing up network device configuration
Using this project you can make backup and track changes of configuration of network devices like switches, routers, etc. -
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sense2vec
Contextually-keyed word vectors
sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn more interesting and detailed word vectors. This library is a simple Python implementation for loading, querying and training sense2vec models. For more details, check out our blog post. To explore the semantic similarities across all Reddit comments of 2015 and 2019, see the interactive demo. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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SentimentAnalysis-Rick&Morty
Rick & Morty Sentiment Analysis - End-of-Degree Project - UNIR
...Through the extraction of information from textual data, it becomes possible to identify and comprehend the sentiments and emotions conveyed. In this end-of-degree work, we analyze and classify the dialogue of characters in an English-language television series as "Rick and Morty" using Python. The objective is to identify and categorize the feelings and emotions expressed in the text, comparing the human perception of the characters' personalities with the results obtained using natural language processing techniques. -
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ChatGenTitle
A paper title generation model fine-tuned on the LLaMA model
ChatGenTitle: A paper title generation model fine-tuned on the LLaMA model using information from millions of arXiv papers. -
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Range Slider Field for Contact Form 7
Range Slider Field for Contact Form 7 User for make your contact form
...The slider's position corresponds to the selected value, which is then captured in the form submission. This interactive input type provides a visually appealing and intuitive way for users to input data within the designated range. Advantages of Using the Range Slider Field Intuitive Interaction: The primary advantage of using a Range Slider Field is its intuitive nature. Visitors to your website can quickly grasp the concept and effortlessly choose a value by dragging the slider left or right. Visual Appeal: Human beings are highly visual creatures, and the Range Slider Field capitalizes on this fact. ... -
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WordPress Hardened
Secure and performant Wordpress installation on Kubernetes cluster
Hardened version of official WordPress container, with special support for Kubernetes. You can skip installation wizard by installing WordPress on container startup. This container uses wp-cli to install WordPress and plugins allowing you to prepare a fully automated website. git-clone-controller is a Kubernetes controller allowing to clone a GIT repository before a Pod is launched, can be used to automatically fetch your website theme within just few seconds before Pod starts. -
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Objective-Oriented Directivity
MATLAB toolbox for processing directivity models
The project is a framework developed in the form of a MATLAB toolbox, which aims to bring common interface for various directivity representations in acoustics. The legacy version was described in paper 10521 at 151st Audio Engineering Society Convention (https://arxiv.org/abs/2109.14370). The preprint on the current, improved version, can be found here: https://arxiv.org/abs/2206.12283. Currently not submitted anywhere, please refer to the toolbox by citing this website. -
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GUIbits
Platform-independent GUI library
GUIbits is a Graphical User Interface package, consisting of small independent procedures, which provides a simple and flexible Application Programmer Interface for applications involving a keyboard, mouse and screen. GUIbits is implemented in Python using PyQt6 and retains the platform-independence of this approach. -
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OGB
Benchmark datasets, data loaders, and evaluators for graph machine
The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. OGB datasets are automatically downloaded, processed, and split using the OGB Data Loader. The model performance can be evaluated using the OGB Evaluator in a unified manner. OGB is a community-driven initiative in active development. We expect the benchmark datasets to evolve. OGB provides a diverse set of challenging and realistic benchmark datasets that... -
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texturize
Generate photo-realistic textures based on source images
Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture. A command-line tool and Python library to automatically generate new textures similar to a source image or photograph. It's useful in the context of computer graphics if you want to make variations on a theme or expand the size of an existing texture. This software is powered by deep learning technology, using a combination of convolution networks and example-based optimization to synthesize images. ... -
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Alphafold
Open source code for AlphaFold
This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and published in Nature. For simplicity, we refer to this model as AlphaFold throughout the rest of this document. Any publication that discloses findings arising from using this source code or the model parameters should cite the AlphaFold paper. Please also refer to the Supplementary Information for a detailed description of the method. You can use... -
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textacy
NLP, before and after spaCy
textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals, tokenization, part-of-speech tagging, dependency parsing, etc., delegated to another library, textacy focuses primarily on the tasks that come before and follow after. -
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VALL-E
PyTorch implementation of VALL-E (Zero-Shot Text-To-Speech)
We introduce a language modeling approach for text to speech synthesis (TTS). Specifically, we train a neural codec language model (called VALL-E) using discrete codes derived from an off-the-shelf neural audio codec model, and regard TTS as a conditional language modeling task rather than continuous signal regression as in previous work. During the pre-training stage, we scale up the TTS training data to 60K hours of English speech which is hundreds of times larger than existing systems.... -
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LM Human Preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
lm-human-preferences is the official OpenAI codebase that implements the method from the paper Fine-Tuning Language Models from Human Preferences. Its purpose is to show how to align language models with human judgments by training a reward model from human comparisons and then fine-tuning a policy model using that reward signal. The repository includes scripts to train the reward model (learning to rank or score pairs of outputs), and to fine-tune a policy (a language model) with... -
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Next Right Now
Flexible production-grade boilerplate with Next.js 11
...It has been used to build Unly Solidarity, a fully static website meant to help French students find various solutions regarding the COVID-19 pandemic. It has been used to build NRN Admin (Now unmaintained/discontinued) To be used as an educational resource, meant to be used as a learning/teaching resource, even if you don’t use it as a boilerplate. -
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LightFM
A Python implementation of LightFM, a hybrid recommendation algorithm
LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback, including efficient implementation of BPR and WARP ranking losses. It's easy to use, fast (via multithreaded model estimation), and produces high-quality results. It also makes it possible to incorporate both item and user metadata into the traditional matrix factorization algorithms. It represents each user and item as the sum of the latent representations of their... -
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KAGSA
KAGSA PROGRAMMING LANGUAGE
it designed to be easy to learn and practical for use in various projects. It has a flexible syntax and allows some things that other languages prohibit, such as using certain symbols in variable names and starting variable names with numbers. KAGSA contains several main components, including a lexer, syntax checker, parser, and compiler. It supports object-oriented programming, iteration, and other features commonly used in programming languages. -
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Nhom10_NhanDienKhuonMat_
Face Recognition web app built on Python using Flask.
Face Recognition web app built on Python using Flask. Students' final project.
