Research & Education

Redmenta is an AI platform designed for educators to streamline the entire teaching process. It enables teachers to create engaging activities and lesson plans using over 160 AI assistants, tailored to specific curricula and teaching styles. The platform facilitates comprehensive evaluation, allowing analysis of various student responses, including essays, videos, and diagrams, while providing preliminary scores and report suggestions. Redmenta also features unique competency tracking, moving beyond traditional grades to build detailed student profiles and identify areas for support. This data-driven approach allows for the personalization of activities, ensuring each student receives targeted instruction. It supports both digital and paper-based learning, integrating with popular LMS platforms like MS Teams and Google Classroom, and prioritizes student data privacy with GDPR compliance.

HacktivSpace is the company that developed EDZA AI, an innovative AI personal tutor designed to revolutionize the learning experience for students. EDZA AI functions much like a human tutor, capable of listening to student queries, adapting to their learning style, testing their knowledge, teaching new concepts, and remembering past interactions. This personalized approach ensures that every student receives tailored educational support. The platform is specifically built to be exam-aware and syllabus-aligned, making it a highly relevant and effective tool for academic success. EDZA AI aims to rebuild and enhance the traditional tutoring experience through advanced artificial intelligence.

Skills Marathon is a learning platform designed to bridge the gap between academic knowledge and the practical demands of the tech industry. It offers a range of comprehensive courses specifically tailored for data science, artificial intelligence, and machine learning. The platform emphasizes gaining essential real-world skills, preparing individuals for dynamic tech roles. By blending theoretical understanding with hands-on experience, Skills Marathon aims to provide accessible and high-quality education, fostering both personal and professional growth for those looking to advance their careers in these rapidly evolving fields.

Vishaya AI is an innovative platform designed to empower global learning by generating AI-powered multilingual courses. It simplifies the course creation process by analyzing a chosen subject and automatically crafting a comprehensive course structure with relevant sections and lessons. A key feature is its ability to generate audio content for each lesson in multiple languages, including English, significantly enhancing accessibility for a global audience. The tool aims to break down language barriers, making knowledge universally accessible. Future enhancements are planned to include AI-generated images, smart lecture notes, and engaging AI video lectures, further enriching the learning experience.

TeachingHOW2s is an innovative AI-powered platform designed to support educators with personalized, on-demand professional development (CPD). It offers a library of over 160 evidence-based teaching (EBT) techniques, presented through visual, step-by-step guides for self-directed learning. The platform features an AI Assistant that provides real-time guidance to tailor techniques to any subject, lesson topic, or unique learning environment, including specialist teaching spaces. Educators can collaborate through a Skills Exchange, share notes, and form groups to improve instructional effectiveness. For managers, TeachingHOW2s provides tools to track engagement, monitor development, and analyze data-driven insights to optimize CPD strategies. It also includes a CPD Journal for logging external activities and reflecting on learning, transforming lesson observations into developmental opportunities.

InstaVideo is an AI-powered tool hosted on Hugging Face that enables users to generate videos simply by providing a text description. This platform offers a straightforward interface where creators can specify various parameters such as video dimensions, duration, and quality settings to tailor the output to their exact needs. While the core functionality is clear, the tool is currently paused on Hugging Face Spaces, requiring users to request its restart from the author. It is designed for individuals looking for an accessible way to produce video content without extensive video editing skills.

ViVEDUS offers a comprehensive pedagogical framework and platform designed to ignite the creative capacity of educators and learners. It features the ViVEDUS Planner, a web-based tool that integrates pedagogy, curriculum, standards, and compliance into one workflow, aiming to reduce teacher workload and improve teaching quality. The platform also includes ViV-iT, an AI-powered personal pedagogical coach, and a Student Engagement Survey to measure and improve student engagement across cognitive, emotional, behavioral, and psychological domains. Based on over 70 years of educational research and developed in partnership with the University of Melbourne, ViVEDUS supports schools in fostering deep learning and higher-order thinking.

LEAi by LearnExperts is an AI-powered tool designed to significantly accelerate the creation and maintenance of training courses. It can reduce the time spent on writing, repurposing, and updating content by as much as 98%. LEAi transforms existing materials like presentations, documents, web content, and videos into structured learning objectives and content suitable for eLearning, instructor-led training, microlearning, and video scripts. The tool ensures content adheres to learning best practices and can be exported into formats such as Word, PowerPoint, SCORM, and xAPI for use in LMS platforms. It also features a test question generator, interactive elements, and protects company intellectual property by not using data for public domain training.

ai-hands-on is an open-source repository designed to help individuals learn AI from first principles and build real neural networks. It provides a comprehensive, hands-on guide to becoming an AI Engineer through a series of intuitive Jupyter notebooks. The curriculum covers fundamental topics such as math, PyTorch basics, neural networks, transformers, Retrieval-Augmented Generation (RAG), and Optical Character Recognition (OCR). This resource is suitable for both beginners and experienced engineers looking to level up their AI skills, offering clarity, structure, and intuition needed to build real AI systems. It also includes recommended reading and references for further learning.

NLP-Tutorials is an open-source GitHub repository offering simple implementations of various Natural Language Processing (NLP) models. It serves as an educational resource for individuals looking to understand and implement core NLP concepts. The tutorials cover a wide range of topics, including search engine algorithms like TF-IDF, word embeddings such as Continuous Bag of Words (CBOW) and Skip-Gram, and sentence understanding models like Seq2Seq, CNN language models, and Transformer. It also features implementations of popular pre-trained models like ELMo, GPT, and BERT. While the code is in English, the accompanying tutorials are written in Chinese on the mofanpy.com website, making it a valuable resource for Chinese-speaking learners interested in practical NLP applications.

Quiz Wizard leverages artificial intelligence to streamline the creation of educational content, specifically multiple-choice questions (MCQs) and flashcards. Educators can input any topic, and the AI will generate unique questions and answers in seconds, significantly reducing preparation time. This tool is designed to help teachers and professors provide personalized training materials to their students across various subjects, from elements of the periodic table to historical events or programming functions. By automating content generation, Quiz Wizard allows educators to focus more on teaching and less on administrative tasks, enhancing the overall learning experience for students.

FLORA is a comprehensive creative environment designed to accelerate generative AI workflows, bringing ideas to life faster than ever before. It unifies over 50 creative AI tools, including state-of-the-art models like Nano Banana Pro, Veo 3.1, Sora 2, and Kling, into a single platform. Users can explore hundreds of possibilities across text, image, and video models without tab-switching, fostering a seamless flow of inspiration. The platform facilitates real-time team collaboration for rapid iteration and allows users to scale workflows by turning single concepts into thousands of production-grade assets with consistent, on-brand output. FLORA is trusted by top creatives and offers flexible credit-based pricing.

The AWS Machine Learning University: Accelerated Natural Language Processing (NLP) class offers comprehensive educational resources for individuals looking to delve into the field of NLP. This open-source repository includes detailed slides, interactive notebooks, and relevant datasets, all designed to facilitate learning and practical application. The curriculum covers foundational concepts such as text processing, Bag of Words, and K-Nearest Neighbors, progressing to more advanced topics like tree-based models, neural networks, word embeddings, and recurrent neural networks (RNNs). A key component is the final project, which provides hands-on experience with a real-world NLP dataset. The initiative's mission is to democratize access to machine learning knowledge, making it a valuable resource for students and professionals alike.

Building-llm-applications-from-scratch offers an open-sourced course designed for professionals to master the development of Large Language Model (LLM) applications. Unlike many courses that rely on pre-built frameworks, this program delves into the foundational building blocks of retrieval systems, empowering participants to design, build, and deploy custom LLM-powered solutions from scratch. The curriculum covers essential topics such as Transformer Architecture, Retrieval-Augmented Generation (RAG), and open-source LLM deployment. It includes 29 in-depth lessons, 6 real-world projects, interactive live sessions, and direct instructor access, culminating in a certificate upon completion. The course is ideal for those with existing Python and basic machine learning knowledge.

deep-learning-pytorch-huggingface is an open-source GitHub repository dedicated to providing comprehensive instructions, examples, and tutorials for individuals looking to get started with deep learning using PyTorch and Hugging Face libraries. It covers a wide range of topics, including fine-tuning large language models like FLAN-T5 and Falcon 180B with advanced techniques such as DeepSpeed ZeRO, LoRA, and Flash Attention. The repository also includes guidance on using transformers and datasets, quantizing open LLMs with optimum and GPTQ, and implementing RLHF with DPO. It's a valuable resource for learning about efficient distributed training with FSDP and Q-LoRA, as well as various inference examples for text generation and other tasks.

dla is an open-source project offering extensive deep learning materials specifically tailored for audio processing. It provides lecture and seminar content covering a wide array of topics, including digital signal processing, automatic speech recognition (ASR), source separation, text-to-speech (TTS), neural audio codecs, and voice biometry. The repository includes practical exercises and project templates, making it suitable for both theoretical learning and hands-on implementation. Originally conducted at the CS Faculty of HSE, the course materials are organized by week, with some lecture recordings available in English. It serves as a valuable educational resource for students and researchers interested in the application of deep learning to audio.

QuikAuthor is an AI-powered microlearning platform designed to accelerate the creation of impactful e-learning content. It leverages artificial intelligence to transform various content formats, including videos, PDFs, and text prompts, into interactive courses. The platform focuses on driving engagement and knowledge retention through gamification elements. Users can efficiently generate complete courses, incorporating quizzes, assessments, and engaging activities. QuikAuthor supports uploading existing educational materials or simply describing the desired teaching content, making course development accessible and fast. It also offers the capability to export courses as SCORM files, ensuring compatibility with various learning management systems.

Hands-On Graph Neural Networks Using Python, published by Packt, is a comprehensive resource for machine learning practitioners, data scientists, and students interested in graph neural networks. The book covers fundamental concepts, practical implementation using Python and PyTorch Geometric, and applications ranging from natural language processing to drug discovery. It teaches users how to classify nodes, graphs, and edges, predict graph topologies, combine heterogeneous data sources, and forecast events. The resource includes all necessary code organized into folders, along with detailed instructions for setting up the required software and hardware, including Python, PyTorch, PyTorch Geometric, and optional GPU acceleration with CUDA and cuDNN. It also provides a list of required Python libraries and offers alternative access via Google Colab.

Tella is an all-in-one screen recorder and video editor designed for creating professional product demos, tutorials, and courses. It provides a comprehensive suite of tools for recording screen, camera, and microphone, with instant upload capabilities. The platform features AI-powered video editing, allowing users to edit videos like a document by leveraging transcripts, removing filler words, enhancing audio, and applying dynamic layouts and automatic zoom effects. Tella supports recording in up to 4K resolution and offers various sharing options, including instant shareable links, embed codes, and high-quality downloads. It also includes analytics to track video performance and collaboration features for teams.

Large-Language-Model-Notebooks-Course is an unofficial, open-source repository offering a practical, hands-on course on Large Language Models (LLMs) and their applications. It's designed for engineers, researchers, and developers, providing updated notebooks and new examples beyond its associated book. The course is divided into three sections: Techniques and Libraries, Projects, and Enterprise Solutions, covering topics such as OpenAI API, Hugging Face, vector databases, LangChain, fine-tuning (PEFT, LoRA, QLoRA), and model evaluation. It includes practical projects like building chatbots, NL2SQL translators, RAG systems, moderation systems, and data analyst agents. Most notebooks are hosted on Colab or Kaggle, with accompanying Medium articles for detailed explanations.

LLM-PowerHouse is a comprehensive GitHub repository designed as an ultimate resource for developers, researchers, and enthusiasts looking to leverage Large Language Models (LLMs). It provides a curated guide with tutorials, best practices, and ready-to-use code for custom training and inferencing of LLMs. The resource covers foundational concepts in mathematics, Python, neural networks, and natural language processing, progressing to advanced topics like LLM architecture, instruction dataset building, pretraining, fine-tuning, RLHF, and evaluation. It also includes sections on model compression, inference optimization, open LLMs, and resources for cost analysis. LLM-PowerHouse aims to empower users to build intelligent applications and push the boundaries of natural language understanding.

Machine-Learning-Notebooks is a comprehensive GitHub repository offering a curated collection of Jupyter notebooks for individuals looking to refresh or learn machine learning and deep learning concepts. The notebooks cover a wide array of topics, including fundamental NumPy operations, various data preprocessing techniques, different regression and classification algorithms, clustering methods, model evaluation metrics, and advanced areas like reinforcement learning, natural language processing, and neural networks. It also includes specialized notebooks on dimensionality reduction and model selection. The resource is compiled from various online sources, making it a valuable, centralized hub for structured learning and practical application of ML/DL concepts.

ml-class is a comprehensive resource offering machine learning lessons and teaching projects specifically designed for engineers. It features bite-sized projects that enable users to learn various aspects of deep learning from the ground up. Each project comes with an associated video, typically around 10 minutes long, guiding users through the concepts. The curriculum is structured to progress from beginner to more advanced topics, though users are free to explore projects out of order. While it assumes some proficiency in Python, no prior machine learning background is required, making it accessible for engineers looking to enter the field. The platform also includes additional benchmark projects for further learning and contribution.

Alelo is a leading AI-powered simulation training platform that leverages generative AI avatars to provide personalized and scalable learning experiences. Learners engage in challenging conversations with socially intelligent avatars in realistic scenarios, receiving immediate feedback to improve their skills. This approach has been shown to accelerate learning significantly compared to conventional methods. Alelo offers solutions for individuals, employee upskilling and reskilling, student education, and government personnel training, including culture and language training for overseas deployments. The platform also features AI-powered Content Navigators for content discovery and Resource Navigators for patient education, reducing the burden on care teams and guarding against misinformation.