Showing 121-140 of 353 projects
A comprehensive collection of cheatsheets, books, questions, and portfolio resources for data science and machine learning interview prep.
A collection of technical interview questions for machine learning and computer vision engineers.
A Python library for reading Wikipedia to answer open-domain questions, focused on natural language processing and machine learning.
A collection of JavaScript coding challenges for developers to practice and prepare for interviews.
Analyzes source code for features of interest and characteristics using static analysis with a JSON-based rules engine.
An open-source knowledge graph for the agriculture domain, enabling information retrieval, named entity recognition, relation extraction, and question answering.
A Python library that provides a simple interface for using popular NLP models like BERT, GPT-2, XLNet, and T5 for various tasks.
Basic JavaScript coding challenges and interview questions for developers
A collection of coding patterns and algorithms for solving data structure and interview problems.
Build and auto-optimize LLM applications with AdalFlow, a Python library.
A state-of-the-art LLM that converts natural language queries to SQL, enabling vibe coders to work more efficiently.
A comprehensive interview preparation guide covering Java, algorithms, data structures, and system design.
A comprehensive collection of solutions for LeetCode problems, updated daily with a focus on algorithms and data structures.
A comprehensive document library for front-end developers, covering a wide range of topics like Vue, React, ECharts, and more.
Collection of common data science interview questions and answers for developers.
Curated collection of 1000+ real interview questions and solutions across tech companies and languages.
An open-source online examination system built with JavaScript for managing exams, assessments, and quizzes.
An enterprise form builder and analytics platform that allows creating questionnaires, exams, polls, and analyzing data.
A comprehensive collection of JavaScript, React, Node, and MongoDB interview questions and answers.
A comprehensive collection of must-know frontend-related knowledge for job-seeking developers.
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