Popular GitHub Repositories for Oscp Prep

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Scalable data pre processing and curation toolkit for LLMs

Open source project for data preparation of LLM application builders

CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

Welcome to the LLMs Interview Prep Guide! This GitHub repository offers a curated set of interview questions and answers tailored for Data Scientists. Enhance your understanding of Large Language Models, prepare for technical interviews, and excel in the evolving landscape of data science with a focus on LLM applications.

AI-900 Azure AI Fundamentals certification prep (May 2025 exam) - Hands-on demos for O'Reilly & MS Press courses by Microsoft MVP Tim Warner

Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.

Open Interview automates technical Q&A generation from resumes, offers document and audio outputs, and customizable settings for efficient interview prep.

Career Craft AI is an all-in-one platform with four tools: AI Career Advisor, Roadmap for Success, Portfolio website Generator, and AI Interview Prep bot—designed to simplify and accelerate your career growth.

Predict next number in a sequence using a simple ANN. Modularized code with classes for data preparation, neural network architecture, and training.

With advanced capabilities, it not only generates summaries from your study materials but also recognizes diagrams and even creates quizzes based on the PDFs you provide. It's designed to make exam prep smarter and more efficient, helping you focus on what truly matters.

A virtual co-host that makes presentations a breeze by using AI to read out your slides, freeing you from prep hassles and letting you focus on delivery

Zénith is a multi-lingual cybersecurity AI NLP security verification chatbot in development that references the MITRE ATT&CK Framework, OSCP solution guides, and current cyber ops TTP to assist companies with the ongoing issue of ransomware attacks on their systems. Zenith is designed to source information from open-source intelligence platforms to relay situationally relevant intelligence and achieve cyber objectives through automated processes.

⚽ HackerRank challenges across ✈ multiple domains ? Optimized & well-structured ? solutions in various programming languages ? Covers Algorithms, Data Structures, ? SQL, Python, Java, C++, and more ? Step-by-step explanations ? multiple approaches ? better understanding ? Great resource ?coding practice, interview prep, ? and skills

Momentum is an AI-powered platform that helps job seekers succeed by offering personalized tools for resume building ??, cover letter crafting ?, and interview prep ?. With AI ?, it provides tailored advice ?, real-time feedback ??, and strategic insights ? to help users stand out. ??

? A powerful ⚽platform ?built to foster ? seamless ? collaboration ⛸ among ? students ? projects ? discussions ? file sharing ? and real time ? communication ? Whether it's ? a group ✈ assignment ? hackathon ? prep or ⛵ academic ⛱ planning this ? system ensures ? teamwork ? stays ? efficient ? organized ? and ? fun ? Features

CUNY Tech Prep 2025 Project

HireWire is your AI-powered interview prep buddy — think ChatGPT meets LeetCode but with sass ? It helps you prepare for technical interviews based on: ?‍? Role ? Experience ? Topics to Focus ? Extra Notes (we all got baggage) It spits out 10 questions by default ? But hey, hungry for more? Tap that Generate More button. Unlimited prep

Explore the Recommendation System Interview Prep Guide! This GitHub repository provides curated interview questions and answers for Data Scientists. Elevate your knowledge of recommendation systems, navigate technical interviews with confidence, and succeed in the dynamic field of data science focused on recommendation system applications.

A web app powered by FLAML automates Machine Learning tasks efficiently, simplifies data prep, and runs smoothly on standard laptops, enabling secure, cost-effective model creation.