Research & Education

PLUS Tutoring is a virtual tutoring platform designed to empower middle school math learners through a combination of AI technology and research-backed educational methods. Originating from Carnegie Mellon University and Stanford University research, PLUS aims to make high-impact math tutoring more accessible, particularly for students from low-income backgrounds. The platform offers 1:1 live tutoring support, with a focus on building student confidence and understanding. Tutors are equipped with the PLUS Toolkit, a data-driven dashboard that connects with math practice software like MATHia and IXL, helping them identify student needs and provide targeted support. The system also includes AI-powered tutor training and collaborative goal setting, ensuring effective and scalable tutoring solutions.

Stable Diffusion Arena is a Hugging Face Space designed for users to experiment with and compare various Stable Diffusion models. This tool facilitates the generation of high-quality images directly from text prompts. Users can select from different available models and fine-tune settings such as resolution and quality to achieve their desired visual output. It serves as an excellent platform for individuals interested in exploring the capabilities and performance differences between various AI image generation models within the Stable Diffusion ecosystem.

Awesome-LLM-Learning is a comprehensive open-source repository designed to guide individuals through the intricacies of Large Language Models (LLMs). It offers foundational knowledge in deep learning and natural language processing, essential for understanding LLMs. The resource delves into core LLM concepts, including training frameworks like Megatron-lm and DeepSpeed, parameter-efficient fine-tuning (PEFT), classic open-source LLMs, RLHF, CoT/ToT, and SFT training. Additionally, it covers LLM inference techniques such as Huggingface parameters and KVCache, and explores applications like LangChain. The repository also features a section dedicated to cutting-edge research, recommending relevant papers and blogs to keep learners updated with the latest advancements in the field. It's an invaluable resource for both newcomers and experienced professionals looking to deepen their understanding and practical skills in LLM development.

Data-Science-EBooks is an open-source repository offering a comprehensive collection of high-quality ebooks focused on Data Science, Machine Learning, and Artificial Intelligence. This resource is designed to cater to both beginners looking to establish foundational knowledge and advanced learners seeking to deepen their expertise. The repository covers a wide array of topics including AI, Agentic AI, Basics of Data Science, Data Engineering & Pipeline, Data Science Cheatsheets, Deep Learning, Generative AI, MLOps, Machine Learning, Math for Data Science, NLP, Software Engineering, and System Design. It serves as an excellent resource for anyone looking to enhance their understanding and skills in these rapidly evolving fields.

Deep_and_Machine_Learning_Projects is an open-source GitHub repository containing a diverse collection of machine and deep learning projects. This resource provides readily available code and data files, enabling users to explore and implement practical applications of artificial intelligence. Each project within the repository is designed to be a standalone example, allowing individuals to understand specific use cases and integrate them into their own real-life scenarios. It serves as an excellent learning resource for those looking to gain hands-on experience in AI development, offering a practical approach to mastering machine and deep learning concepts through direct implementation.

FineTuningLLMs is the official repository for the book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face." This resource offers comprehensive guidance and practical code examples for fine-tuning large language models. It covers essential concepts such as quantization, low-rank adapters (LoRA), and dataset formatting templates. The repository features Jupyter notebooks that can be easily run on Google Colab with GPU support, making it accessible for hands-on learning. It delves into topics like loading quantized models, fine-tuning with SFTTrainer, and deploying models locally using formats like GGUF with Ollama or llama.cpp. The guide is designed for an intermediate-level audience, assuming a foundational understanding of deep learning concepts.

Backdoor AI offers a service providing unblocked access to ChatGPT, powered by GPT-4, tailored for academic use. This tool is designed to assist students with their schoolwork, enabling them to chat with GPT-4 to efficiently answer questions and complete assignments. Its core features include unblocked access to ChatGPT and GPT-4 powered assistance for educational tasks. The primary use case revolves around answering schoolwork questions using the advanced capabilities of GPT-4, making it a valuable resource for students seeking AI support for their studies. Access to the service is obtained by contacting the provided email address.

ML-Tutorial-Experiment is an open-source GitHub repository dedicated to providing comprehensive coding tutorials for machine learning. It aims to help users learn to code machine learning models through practical examples and experiments. The resource covers a wide array of topics, including building convolutional neural networks with TensorFlow, understanding and implementing Generative Adversarial Networks (GANs), exploring CapsNet architecture, and delving into RNNs and CNNs for sequence modeling. It also features tutorials on Transformer-based neural machine translation and foundational concepts like linear algebra, probability, Python basics, and NumPy. The project emphasizes reproducible code and aims to curate high-quality, error-free articles for developers and researchers.

TheBloke Wizard Vicuna 13B Uncensored HF is an AI chatbot hosted as a Hugging Face Space. This tool offers an uncensored version of the Wizard Vicuna 13B model, allowing users to engage in conversational AI interactions without typical content restrictions. While the live website currently indicates a runtime error, suggesting it may not be fully operational at this moment, the intention is to provide a platform for direct interaction with this specific large language model. It is designed for those interested in exploring the capabilities of uncensored AI models within a readily accessible web environment.

Non-overwhelming-machine-learning is an open-source project hosted on GitHub, offering a carefully curated list of machine learning resources specifically designed for beginners. The primary goal is to provide a "non-overwhelming" introduction to the field, guiding users through a chronological learning path. It assumes foundational knowledge in probability, multivariable calculus, and optimization, ensuring that learners have the necessary prerequisites before diving into more complex topics. The resource list includes introductory courses like "Intro to Machine Learning UD120," "Deep Learning @ Udacity," and specialized courses on convolutional neural networks and natural language processing. This structured approach helps beginners build a solid understanding without feeling overwhelmed by the vastness of machine learning.

ResearchBunny simplifies academic research by converting dense papers into bite-sized audio summaries available in over 18 languages. This platform is designed for students, researchers, and lifelong learners, enabling them to consume complex information while on the go. Key features include customizable playback options for speed, length (3, 6, or 9 minutes), and depth levels from Beginner to Advanced. Users can also create AI-powered research podcast playlists, ask 'Bunny' questions about papers, and receive tailored recommendations. ResearchBunny also provides 'RB Pages' to turn research into shareable, rich experiences and offers widgets for engaging audiences on personal research sites.

TensorFlow-and-DeepLearning-Tutorial is an open-source repository offering a collection of deep learning tutorials. Originally taught as an online course in 2016, it provides foundational knowledge in TensorFlow, fully connected neural networks, and convolutional neural networks. The resource also delves into Natural Language Processing concepts. Written primarily in Python and Jupyter Notebook, it serves as a valuable educational tool for individuals looking to understand and implement deep learning techniques.

FlashPaper is an AI writing tool designed to support students and researchers in academic writing tasks. It offers features for generating graduation theses within ten minutes, creating outlines, and paraphrasing text. The tool also includes functionalities for plagiarism detection, text rewriting, and citation generation. FlashPaper aims to simplify the academic writing process by providing AI-powered assistance for various stages, from initial topic generation and literature review to final paper refinement and formatting. It supports tasks like generating opening reports and literature reviews, making it a comprehensive aid for academic work.

Transvribe was an AI-powered tool that enabled users to interact with YouTube videos by asking questions. It aimed to make learning from YouTube content more productive by leveraging AI embeddings to understand video content. Users could paste a YouTube URL and then query the video, effectively turning video content into an interactive knowledge base. However, due to significant changes in YouTube's internal API, which now requires session-specific authentication tokens and stricter validation, Transvribe is no longer functional. The developer has made the full codebase available on GitHub for those interested in exploring or potentially finding a solution to the new API restrictions.

GLiNER HandyLab is a versatile AI tool hosted on Hugging Face Spaces, designed to assist users with a range of Natural Language Processing (NLP) tasks. Users can input any text and select from functionalities such as Named Entity Recognition (NER), Question Answering, Open Information Extraction, Summarization, Relation Extraction, and Text Classification. This makes it a valuable resource for quickly processing and understanding textual data without needing to set up complex environments. The application is suitable for educational purposes, research, and anyone looking to experiment with advanced NLP models.

EduWiz.AI is a free AI Writer Assistant tool designed to help students and writers generate academic essays, paragraphs, and paperwork quickly and effortlessly. It offers a suite of writing tools including an Essay Writer, Text Summarizer, Text Paraphraser, Text to Speech converter, Text Humanizer, and Text Responder. Users can benefit from AI Autocomplete to overcome writer's block and enhance their papers with smart AI suggestions. The platform supports customizable paperwork, multiple languages, and provides various essay templates to get started. EduWiz.AI aims to simplify and improve writing clarity and style, making it an ideal companion for academic tasks.

The Madrasti Platform Lesson Preparation Tool is an AI-powered add-on specifically designed to support educators. It helps teachers efficiently create comprehensive lesson plans and generate exam materials tailored for the Madrasti platform. By leveraging artificial intelligence, the tool aims to streamline the often time-consuming process of developing educational content, allowing teachers to focus more on instruction and student engagement. This platform is built to simplify content creation, making it easier for teachers to prepare high-quality lessons and assessments. The tool is designed to be intuitive, enabling educators to quickly adapt and integrate it into their existing workflows for enhanced productivity.

ExamGenie AI is a free, AI-powered application designed to assist students in preparing for college entrance exams. The tool streamlines the creation of practice tests by allowing users to generate personalized question papers directly from syllabus screenshots. This innovative approach aims to simplify and expedite the exam preparation process, providing students with tailored study materials. By leveraging artificial intelligence, ExamGenie AI helps users focus on specific topics and areas of improvement, making it an efficient resource for self-study and revision. Its user-friendly interface ensures accessibility for all students looking to enhance their test-taking skills.

Reinforz is an AI-powered platform aimed at streamlining academic workflows for both educators and learners. It provides assistance with various educational activities, leveraging artificial intelligence to automate tasks and improve efficiency within academic settings. While specific features are not detailed, the tool's core purpose is to enhance productivity and support learning and teaching processes. It targets a broad audience within academia, seeking to simplify complex or repetitive tasks, thereby allowing users to focus more on core educational objectives.

Examify AI is an AI-powered revision toolkit designed to enhance personalized exam preparation for students. The platform focuses on providing tailored learning experiences, aiming to make the study process more efficient and effective. By leveraging artificial intelligence, Examify AI offers feedback mechanisms that help students identify areas for improvement and refine their understanding of subjects. This tool is built to support students in their academic journey, offering a modern approach to revision that adapts to individual learning needs and paces, ultimately contributing to better exam outcomes.

AI_Books is a GitHub repository offering a comprehensive collection of books focused on Artificial Intelligence, Machine Learning, Deep Learning, and Neural Networks. This resource is designed for individuals looking to deepen their understanding and skills in these rapidly evolving technological domains. The repository includes a wide array of titles, covering foundational concepts, advanced theories, and practical applications, often with examples in popular programming languages like Python and R. It also provides links to online books and supplementary resources, making it a central hub for learning and reference in AI-related subjects.

BeatAI is an open-source educational resource designed to demystify artificial intelligence for a broad audience, from students to engineers. It covers a comprehensive range of topics, including neural networks, large language models, top-level design principles, microscopic mechanisms, engineering implementation, and algorithmic foundations. The project aims to help users understand the profound impact of next-token prediction and realize that AI is not as mysterious or unattainable as it might seem. The resource is presented as an AI entry-level bible, making complex concepts accessible without being overly obscure or niche. It is hosted on GitHub and encourages community contributions.

Deeplearning.ai-Natural-Language-Processing-Specialization is an open-source repository containing comprehensive notes and completed assignments for Coursera's Natural Language Processing Specialization, offered by deeplearning.ai. Taught by instructors Younes Bensouda Mourri and Łukasz Kaiser, the specialization covers four key courses: Natural Language Processing with Classification and Vector Spaces, Probabilistic Models, Sequence Models, and Attention Models. This resource is ideal for students and learners looking to deepen their understanding of NLP concepts, from sentiment analysis and word embeddings to advanced machine translation and chatbot development using models like T5, BERT, and Transformer. It provides practical examples and code structures to aid in learning and application.

Deep-learning-drizzle is an open-source GitHub repository offering a comprehensive collection of educational resources for various AI domains. It curates lectures and materials covering Deep Learning, Reinforcement Learning, Machine Learning Fundamentals, Natural Language Processing, Computer Vision, Optimization for Machine Learning, Automatic Speech Recognition, Bayesian Deep Learning, Medical Imaging, and Graph Neural Networks. The repository is designed to help individuals drench themselves in these subjects by providing links to courses from renowned universities and instructors like Geoffrey Hinton, Andrew Ng, and Stanford University. It serves as a valuable learning hub for students and researchers looking to deepen their understanding and develop intuitions in the rapidly evolving field of artificial intelligence.