Model Training

Keras is an open-source deep learning API written in Python, designed to simplify the construction and training of neural networks. Its user-friendly design, modular structure, and multi-backend support enable developers to efficiently develop and deploy deep learning models.

scikit-learn is an open-source machine learning library for Python, offering simple and efficient tools for predictive data analysis, suitable for various contexts, built on NumPy, SciPy, and matplotlib.

Coze is ByteDance's no-code AI application development platform, enabling users without programming experience to quickly create chatbots, agents, and AI applications, and deploy them across various social platforms.

Infini-AI offers a heterogeneous cloud platform supporting various models and chips, enabling developers to train and deploy large models cost-effectively.

PaLM (Pathways Language Model) is a 540 billion parameter large language model released by Google in April 2022, featuring robust multilingual processing, logical reasoning, and code generation capabilities to enhance natural language processing tasks.

Huixing Cloud (formerly Houdeyun) is a professional AI computing power platform offering high-performance, convenient, and secure GPU resources to accelerate AI research and application processes.

Monster AI offers a no-code enterprise knowledge base platform supporting team collaboration and permission management, integrated with intelligent Q&A robots to help enterprises efficiently manage knowledge assets and enhance customer service quality.

Jinsha Aggregation is a platform dedicated to providing professional API interface services for AI practitioners, covering various functions such as AI Q&A, AI painting, and AI video, aiming to enhance developers' work efficiency and product quality.

Lobe is a no-code development platform provided by Microsoft, designed to help users easily create and train machine learning models. With a simplified three-step process, users can train and deploy models without writing any code.

CuspAI is an AI-driven material search engine launched by the University of Cambridge. Utilizing generative AI technology, it rapidly generates and evaluates potential molecular structures based on user-defined material properties, significantly accelerating the discovery of new materials. In June 2024, CuspAI completed a $30 million seed funding round, focusing on developing new materials for carbon capture and storage to support global carbon neutrality goals.

Tianrang Xiaobai is an all-in-one AI application development platform launched by Tianrang Company, designed to help developers and users with no programming background easily create personalized AI applications. The platform offers a visual interface and a rich component library, supporting rapid development of various AI applications to meet the needs of different business scenarios.

Meitu's self-developed AI visual model, MiracleVision, integrates profound aesthetic understanding with advanced AI technology, offering text-to-image and image-to-image functionalities. It is widely applied in e-commerce, advertising, gaming, animation, and film industries, significantly enhancing creative efficiency.

Ollama is an open-source tool designed to simplify the deployment and operation of large language models (LLMs) on local devices. It supports various models, including Llama 3.3, DeepSeek-R1, Qwen 3, and is compatible with macOS, Linux, and Windows systems, catering to developers and AI enthusiasts.

MLX is an open-source framework developed by Apple's machine learning research team, designed specifically for Apple Silicon chips. It offers a NumPy-like API, supports automatic differentiation and lazy evaluation, aiming to assist developers in efficiently developing, training, and deploying machine learning models on Apple's M-series chips.

Deeplearning4j is an open-source deep learning framework designed for the Java Virtual Machine (JVM), supporting various deep learning algorithms and seamlessly integrating with Apache Hadoop and Spark, making it suitable for large-scale data processing and distributed computing.

OpenBMB, jointly initiated by Tsinghua University and the Beijing Academy of Artificial Intelligence, is dedicated to building a large-scale pre-trained language model library and related tools, lowering the threshold for large model usage, accelerating their training, fine-tuning, and inference processes, and promoting the standardization, popularization, and practical application of large models.

Caffe is an open-source deep learning framework developed by the University of California, Berkeley, known for its efficiency, flexibility, and modular design, widely used in image classification, speech recognition, and other fields.

Coze is an all-in-one AI development platform launched by ByteDance, enabling users to create AI robots without coding in 30 seconds. It integrates over 60 plugins covering areas like news reading and travel planning, making it suitable for users without programming experience to quickly create and deploy AI applications.

Obviously AI is a no-code data science platform designed to help businesses and individuals rapidly build and deploy machine learning models without writing code. Its core features include rapid model building, one-click deployment, automated model monitoring, and real-time API integration, significantly lowering the barrier to AI adoption.

Replicate is an innovative AI platform offering a simple API that allows developers to run, fine-tune, and deploy open-source AI models with a single line of code, supporting the generation of images, text, videos, music, and more, catering to the needs of Gen Z and internet users for intelligence, convenience, and efficiency.

Modelers Community, co-developed by Tianyi Cloud and Huawei, offers diverse services such as model hosting, dataset management, and online experiences, empowering AI developers for efficient innovation.

PaddlePaddle is an open-source deep learning platform developed by Baidu, integrating core frameworks, model libraries, development kits, and tool components. It is widely used in industries such as manufacturing, agriculture, and enterprise services, serving over 10.7 million developers and 235,000 enterprises.

ColossalChat, developed by Colossal-AI, is a free open-source chatbot based on the LLaMA pre-trained model, utilizing a complete RLHF mechanism to offer robust bilingual conversation capabilities in English and Chinese, ideal for developers and AI enthusiasts.

Gradio is an open-source Python library designed to help developers quickly create user-friendly web interfaces for machine learning models, enabling anyone to interact with them anytime, anywhere. Its simple API and powerful features make it an ideal tool for showcasing and sharing machine learning applications.

AutoGPT is an open-source AI agent designed to automate digital workflows, assisting users in efficiently completing tasks and focusing on innovative and impactful work.

SenseChat, developed by SenseTime, is an AI chat assistant based on the self-developed 'SenseNova' model, offering multi-turn conversations, logical reasoning, language correction, content creation, and more, catering to the needs of Gen Z and internet users for intelligence, convenience, and efficiency.

Apache MXNet is an open-source deep learning framework supporting multiple programming languages and devices, offering flexible programming models and efficient distributed training capabilities.

Mobvoi's 'Sequence Monkey' is a large language model with multimodal generation capabilities, covering six dimensions: knowledge, dialogue, mathematics, logic, reasoning, and planning. It supports various tasks such as text, image, 3D content, voice generation, and recognition, aiming to provide users with a smooth and convenient interactive experience.

DeepSpeed is an open-source deep learning optimization library by Microsoft, designed to reduce computational resources and memory usage, offering efficient distributed model training, especially suitable for large-scale language model training.

Scale AI is a San Francisco-based technology company specializing in providing high-quality data annotation and data management services for machine learning and artificial intelligence applications. Its core products include Scale Data Engine and Scale GenAI Platform, designed to help enterprises optimize AI model performance and accelerate the development and deployment of AI applications.