Python
Projects with this topic
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Web application for managing household budgets
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mitmproxy packaging for Kali Linux
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SmartPy
Smart Contracts on Tezos
A comprehensive solution for developing, testing, and deploying smart contracts on the Tezos blockchain. All in familiar Python syntax.
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App for students of Kuban State Technological University
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Flags SDK by Vercel
dataset openml datagit tabular parquet CSV Python JavaScript Java Docker HTML CSS Linux PHP React C++ TypeScript Android Rust Go C GitLab API Bash python3 C# nodejs Ansible game website golang web Django Terraform Angular Kubernetes cli Kotlin MySQL dotfiles Laravel Node.js Git PostgreSQL Amazon Web S... Windows Flutter plugin machine lear... JSON WordPressUpdated -
Develop. Preview. Ship.
dataset openml datagit tabular parquet CSV Python JavaScript Java Docker HTML CSS Linux PHP React C++ TypeScript Android game Rust Go C GitLab API Bash python3 C# nodejs Ansible website golang web Django Terraform Angular Kubernetes cli Kotlin MySQL Laravel Node.js Git library PostgreSQL Amazon Web S... Windows Flutter machine lear... WordPressUpdated -
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Routio is a route optimization tool for waste management that enhances operational efficiency through dynamic routing algorithms, interactive GIS visualization, and a user-friendly interface built with Next.js and a robust Django Rest Framework backend.
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OnRoad is a platform where users can anonymously contribute vehicle prices which helps the community get real and transparent pricing. Its USP is the complete breakdown of prices and hidden charges which separates it from the competition.
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A custom Streamlit component to copy text to the clipboard with a button.
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A progressive web-application to manage drone-flight artefacts such as images, logs and APM parameters.
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Create new React Components in no time!
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A web application using a Python backend (Flask), Vite React frontend, and integrations with Spotify and OpenAI APIs
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Pre-commit template for Python and JS/TS code quality control.
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Tools for probing the reasoning ability of LLMs and logging the logprobs (log probabilties) of generated tokens to identify weak points in an LLM's response.
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