Research & Education

llms-from-scratch-cn is an open-source educational project by Datawhale, designed to help developers and researchers build large language models (LLMs) from the ground up. It offers a comprehensive learning path, emphasizing practical implementation over theoretical concepts. The project focuses on understanding LLM architecture, providing step-by-step tutorials to construct models such as GLM4, Llama3, and RWKV6. It includes detailed code examples, covering encoding, pre-training, and fine-tuning processes, making it accessible for individuals with basic Python and PyTorch knowledge to delve deep into LLM principles.

Llama-Chinese is a vibrant open-source community dedicated to advancing Llama large language models, with a strong emphasis on Chinese language optimization. The platform serves as a central hub for developers and enthusiasts, offering a wealth of learning materials, resources, and a collaborative environment to foster the best open-source Llama ecosystem. It supports the development and deployment of Llama models for various applications, including commercial use. The community provides access to pre-trained models like Atom, offers tools for fine-tuning and quantization, and facilitates deployment acceleration. Additionally, it hosts a forum for technical discussions, provides computing resources, and shares diverse datasets, making it an invaluable resource for anyone interested in Chinese AI models.

LLM-quickstart is an open-source guide designed to help users quickly get started with large language models (LLMs). It offers comprehensive resources for both theoretical learning and practical fine-tuning of LLMs. The guide provides detailed instructions for setting up a development environment, including installing necessary software like CUDA Toolkit, Miniconda, and Jupyter Lab. It also outlines hardware requirements, specifically recommending a GPU with at least 16GB of VRAM, such as an NVIDIA Tesla T4. The project includes practical examples and configurations for working with various LLM components and frameworks, making it a valuable resource for those looking to dive into the world of large language models.

LLM-RL-Visualized offers a comprehensive collection of over 100 original architectural diagrams to systematically explain large language models (LLMs) and reinforcement learning (RL). This resource delves into the core principles of LLMs and Vision-Language Models (VLMs), various training algorithms such as RLHF, GRPO, DPO, SFT, and CoT distillation, as well as optimization techniques like RAG. Authored by the creator of "Large Model Algorithms," it serves as a valuable visual aid for understanding complex AI concepts. The repository is continuously updated with corrections and additions, providing high-definition diagrams and scalable SVG vector images for detailed study.

Augmend is an AI-powered platform that allows users to quickly create custom coloring books from their personal photos. It converts uploaded images into clean, printable outlines suitable for coloring. The tool offers various output options, including instant PDF downloads for self-printing or ordering physical bound books in different sizes and page counts. Augmend emphasizes ease of use, providing a simple upload, preview, and download process. It's designed to create personalized coloring experiences, making family members or pets the stars of their own coloring adventures, which is highlighted as a delightful and engaging feature for children and families.

machine-learning-interview-questions is a valuable resource designed to help individuals prepare for Machine Learning interviews. This GitHub repository compiles a wide array of potential interview questions across key domains. Users can find dedicated sections for Deep Learning, General Machine Learning, and Mathematics for Machine Learning, ensuring a holistic preparation approach. The structured format allows for easy navigation through different topics, making it an efficient tool for job seekers aiming to strengthen their understanding and readiness for technical interviews in the AI and ML fields.

PROTAC Scientific-Drug Discovery Pro provides comprehensive computational services to accelerate drug lead discovery. The platform utilizes cutting-edge machine learning and informatics tools, alongside in-house multidisciplinary expertise, to streamline the drug discovery process from strategy development through publication. Services include fragment-based lead discovery, molecular docking, protein homology modeling, pharmacophore modeling, and the creation of customized machine learning models for bioactivity prediction. They also offer training programs and workshops, and support for publishing in top-tier journals and patenting. The company aims to reduce costs and save time for researchers, with financial support options for students and referral programs.

Meddenovo Drug Design is a Lyon-based biotech company specializing in AI-powered, nature-inspired cyclic peptide design. Their platform, Mexa, combines large-scale AI-driven generation with physics-based evaluation and refinement to explore millions of candidate peptides per target. This technology allows for de novo drug design even without prior experimental data, accelerating hit identification in drug discovery. Meddenovo focuses on reducing early discovery risk and unlocking peptide-based modalities for difficult targets, particularly in oncology, radiopharmaceuticals, and metabolic diseases. Their approach leverages the unique properties of cyclic peptides, which bridge small molecules and biologics, offering structural rigidity for selective target binding and versatility for complex biological interfaces.

MLAPP_CN_CODE is an open-source GitHub project dedicated to providing a comprehensive Chinese translation of Kevin P. Murphy's influential textbook, "Machine Learning: A Probabilistic Perspective." Beyond just translation, the project also includes Python implementations of the algorithms discussed in the book, making complex concepts more accessible. Users can find code files directly linked to the graphics within the translated articles, facilitating a deeper understanding of the theoretical material through practical application. The project is actively maintained, with recent updates covering topics like deep learning, decision theory, optimization, and information theory, ensuring its relevance and timeliness for students and researchers alike.

DLInterview is a comprehensive GitHub repository designed to help individuals prepare for deep learning interviews. It compiles a wide range of questions and answers across critical domains such as mathematics, machine learning fundamentals, deep learning, computer vision, and basic algorithms. The repository also includes resources for algorithm languages and general technical interview knowledge, drawing from established computer science literature. It aims to provide a systematic and organized collection of study materials, making it an invaluable resource for students and job seekers in the AI and machine learning fields.

Polyglot is a versatile, cross-platform desktop application, also available as a web version, designed for AI-powered language practice. Leveraging ChatGPT and Azure AI language models, it provides an intuitive platform for users to engage in multilingual oral practice. Key features include intelligent speech synthesis, smart conversation capabilities, and support for multiple languages with built-in AI characters from different countries. Users can customize languages, AI personas, and configure their own Azure and OpenAI API keys. It also offers dark mode, text translation, custom avatars, and voice recognition with hotkey support, making it a comprehensive tool for language learners.

My Clever AI provides a comprehensive suite of AI tools designed to streamline various tasks, from web design to learning and photography. Users can leverage AI to generate complete web pages, individual web elements, or even redesign existing websites. The platform also offers advanced AI photo editing capabilities, including restoring old photos, generating AI headshots, and virtual try-on features. For learning, My Clever AI includes an AI teacher that provides personalized lessons and answers. Additionally, it offers tools for AI writing assistance, character creation, PDF interaction, and calorie tracking, making it a versatile solution for both creative projects and professional development. The platform is accessible via web, mobile apps, and a Chrome extension, ensuring a seamless experience across devices.

QUEBEC.AI is an AI research company established in 2003, dedicated to the development and commercialization of artificial intelligence technology. The organization is actively seeking associates and partners to join its mission of achieving unicorn status within the AI industry. While specific features are not detailed on the homepage, the company's focus is clearly on advancing AI research and its practical applications. The website is available in both French and English, indicating an international or bilingual outreach for its research and partnership initiatives.

Starter-Guide, developed by the PKU-DAIR team, is an open-source repository designed to provide a comprehensive guide for beginners in the fields of data management (DM) and artificial intelligence (AI). It consolidates core papers and shared experiences from the team to help newcomers quickly familiarize themselves with cutting-edge areas and build a solid technical foundation. The guide covers various research directions including AI systems, AutoML, Database, AI Agent, Data-Centric ML, Diffusion Models, AI for Science, and Graph. It aims to support users in their learning and research journeys, whether they are just starting out or looking to deepen their understanding.

VnCoreNLP is a comprehensive Vietnamese natural language processing toolkit, designed to provide fast and accurate linguistic annotations. It integrates essential NLP components such as word segmentation, part-of-speech (POS) tagging, named entity recognition (NER), and dependency parsing. Users can run processing pipelines either from the command-line or through its API, eliminating the need for external dependencies. The toolkit supports both Python (via a wrapper) and Java, making it accessible to a broad range of developers and researchers. VnCoreNLP's architecture and experimental results have been published in prominent NLP conferences, highlighting its effectiveness for Vietnamese text analysis.

vibe-vibe is an open-source, systematic tutorial designed to make AI-assisted coding accessible to everyone, regardless of prior programming experience. It introduces the concept of "Vibe Coding," where users interact with AI through natural language to create applications, shifting the focus from writing code to conversational creation. The tutorial is structured into four main sections: a foundational 'Basic' part for AI programming essentials, an 'Advanced' section covering full product delivery, a 'Practice' section with project-based learning, and a 'Quality Articles' section for continuous learning. It aims to empower individuals, from students to entrepreneurs, to quickly realize their ideas and enhance productivity using AI.

TF-Tutorials is an open-source repository offering a comprehensive collection of deep learning tutorials implemented in TensorFlow and Python. It features Jupyter notebooks covering diverse topics such as Deep Convolutional Generative Adversarial Networks (DCGAN), InfoGAN, deep layer visualization, and comparisons of deep network architectures like ResNet, HighwayNet, and DenseNet. The repository also includes tutorials on implementing basic Recurrent Neural Networks (RNN-TF) and using t-SNE for visualizing intermediate layer representations. This resource is ideal for individuals looking to understand and apply TensorFlow in practical deep learning projects, providing clear, executable examples.

Prompt-Engineering-Guide-Chinese is a comprehensive, open-source guide designed to help individuals understand and master prompt engineering. It is a translated and updated version of a popular English guide, specifically enhanced with AIGC (AI-Generated Content) prompt sections to make the learning process more accessible for Chinese-speaking users. The guide covers the development and optimization of prompts for effectively utilizing large language models (LLMs) across various applications and research topics. It aims to improve understanding of LLMs' capabilities and limitations, offering insights for researchers to enhance LLMs' performance on tasks like Q&A and arithmetic reasoning, and for developers to design powerful prompting techniques for LLM interfaces.

Machine_Learning_Study_Path is an open-source GitHub repository designed to guide individuals through their machine learning journey. It offers a structured collection of resources, including popular online courses from platforms like Coursera and NetEase Cloud Classroom, recommended books covering topics from Keras to deep learning, and essential frameworks such as TensorFlow and PyTorch. The repository also features a curated list of influential machine learning blogs from institutions like Google Brain and DeepMind, making it an invaluable resource for students and professionals looking to deepen their understanding and practical skills in machine learning.

Storm by Stanford is an AI-powered platform designed for interactive knowledge curation, enabling users to generate comprehensive reports on diverse subjects. This tool streamlines the research process with an intuitive interface, making it accessible for a wide range of users. It focuses on providing clarity and depth in its generated content, ensuring that the information is both insightful and easy to understand. Storm is particularly beneficial for those who need to quickly synthesize information and produce well-structured reports, enhancing productivity in academic and professional settings.

Gleans is an AI-driven platform designed for thought leaders and experts to easily discover, curate, organize, and share knowledge and recommendations. It features a Chrome Extension that allows users to instantly save links, articles, and resources with a single click, accessible from their personal you.gleans.me page. The platform streamlines content curation, making it effortless to manage and share valuable information through AI-powered organization and beautiful collections. It's ideal for individuals looking to build a personal knowledge base, share insights with followers, or organize research for projects.

WTF Does This Company Do? leverages GPT-3 to demystify corporate jargon and explain what companies actually do. Users can input a company name or website URL, and the tool generates a plain-language explanation. Beyond just explanations, it also offers a 'roast the website' feature for humorous, albeit potentially offensive, critiques. The tool is designed to help users quickly grasp the core business of various companies, making it useful for anyone encountering unfamiliar business descriptions or seeking a quick, AI-powered summary. It is built by @krishnerkar and supported by donations.

Mockaroni is an AI-powered platform specifically developed to help job seekers practice and improve their interview skills. The tool simulates real-world interview scenarios, allowing users to gain experience and confidence before actual job interviews. It offers personalized feedback on performance, helping users identify areas for improvement in their responses, body language, and overall presentation. Mockaroni aims to enhance a user's ability to articulate their skills and experiences effectively, making it a valuable resource for anyone looking to boost their chances of success in the competitive job market.

wonderful-prompts is an open-source project featuring a meticulously curated collection of high-quality Chinese prompts designed to significantly enhance the usability and effectiveness of ChatGPT. This resource provides hundreds of prompts, complete with illustrative examples and usage guidelines, making it easier for users to master AI interactions. The project is continuously updated and encourages community contributions. It also offers a comprehensive ChatGPT Chinese guide, covering tutorials, selected open-source projects, and other AI tools, making it an invaluable resource for anyone looking to deepen their understanding and application of ChatGPT.