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Alibaba AI-DL-ML-LLM related GitHub Repositories
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For the top 15 GitHub repos, ask for 10 paragraphs. e.g. Amazon SageMaker Features, Amazon SageMaker Alternatives, Amazon SageMaker Security, , Amazon SageMaker DevOps
Alibaba Cloud Machine Learning Platform for AI (PAI)
In 2018, Alibaba introduced the Platform of Artificial Intelligence (PAI), a comprehensive machine learning platform designed to facilitate the development, training, and deployment of AI models at scale. PAI supports popular frameworks such as TensorFlow and PyTorch, and offers built-in algorithms and pre-trained models to accelerate AI adoption across various industries.
Alink: Machine Learning on Apache Flink
Released in 2019, Alink is a machine learning algorithm platform based on Apache Flink, developed by Alibaba's PAI team. It provides a rich set of algorithms for tasks like classification, regression, clustering, and recommendation, enabling efficient data processing and analysis in real-time streaming and batch processing environments.
MNN: Mobile Neural Network Framework
In 2019, Alibaba launched MNN, a lightweight and high-performance deep learning framework optimized for mobile and embedded devices. Serving as a core component in Alibaba's Walle System, MNN facilitates device-cloud collaborative machine learning, enabling efficient deployment of AI models across diverse hardware platforms.
DAMO-ConvAI: Conversational AI Toolkit
Introduced in 2022, DAMO-ConvAI is the official repository containing the codebase for Alibaba's DAMO Academy's conversational AI research. It encompasses various tools and models for building dialogue systems, reflecting Alibaba's advancements in natural language understanding and generation.
AliceMind: Pre-trained Models Collection
Since 2020, Alibaba's Machine IntelligeNce of Damo (MinD) Lab has developed AliceMind, a collection of pre-trained encoder-decoder models and related optimization techniques. This suite includes models like mPLUG-Owl2, designed to enhance large language models through multimodal collaboration, supporting tasks across text, image, and video modalities.
Pipcook: Machine Learning for Web Developers
Launched in 2020, Pipcook is an open-source machine learning platform tailored for web developers. It provides a modular architecture with well-defined APIs, enabling seamless integration of machine learning capabilities into web applications, thereby lowering the barrier for web developers to adopt AI technologies.
Spring AI Alibaba: Java Application Framework
In 2023, Alibaba introduced Spring AI Alibaba, an application framework for Java developers to build AI-native applications. It supports various model types, including chat, text-to-image, audio transcription, and text-to-speech, and offers features like function calling and retrieval-augmented generation, streamlining the development of AI applications in the Java ecosystem.
EasyTransfer: Transfer Learning Platform for NLP
Developed by Alibaba's DAMO Academy, EasyTransfer is a platform designed for deep transfer learning in natural language processing applications. It integrates comprehensive transfer learning algorithms and supports efficient training and inference, facilitating the development of industrial-scale NLP applications.
EasyNLP: Comprehensive NLP Toolkit
EasyNLP, introduced by Alibaba in 2022, is a toolkit that simplifies the building of NLP applications. It supports a wide range of pre-trained models and provides functionalities for knowledge-enhanced pre-training, knowledge distillation, and few-shot learning, offering a unified framework for model training, inference, and deployment.
Qwen 2.5: Open-Source AI Models
In September 2024, Alibaba released the Qwen 2.5 family of open-source AI models, comprising over 100 versions ranging from 0.5 to 72 billion parameters. These models exhibit proficiency in mathematics, coding, and support for multiple languages, catering to diverse AI applications across sectors such as automotive, gaming, and scientific research.
Alibaba's ChatLearn Framework
In 2023, Alibaba introduced ChatLearn, a flexible and efficient training framework designed for large-scale alignment tasks. This framework facilitates the development of sophisticated AI models by streamlining the training process, thereby enhancing the performance and scalability of machine learning applications.
LoongCollector: Observability Data Collector
Released in 2023, LoongCollector is a fast and lightweight observability data collector developed by Alibaba. It enables efficient monitoring and analysis of system performance, providing valuable insights for optimizing AI and machine learning workflows.
GraphScope: Large-Scale Graph Computing System
In 2023, Alibaba launched GraphScope, a one-stop large-scale graph computing system. It offers comprehensive tools for graph analytics and computation, facilitating complex data processing tasks essential in AI and machine learning research.
Higress: AI Native API Gateway
Introduced in 2023, Higress is an AI native API gateway developed by Alibaba. It integrates advanced AI capabilities into API management, enhancing the efficiency and intelligence of API interactions within machine learning systems.
TorchEasyRec: Large-Scale Recommendation Algorithms
In 2023, Alibaba released TorchEasyRec, an easy-to-use platform for large-scale recommendation algorithms. It simplifies the development and deployment of recommendation systems, leveraging AI to deliver personalized user experiences.
Tora: Trajectory-Oriented Diffusion Transformer
Developed in 2023, Tora is a trajectory-oriented diffusion transformer designed for video generation. This model enhances the quality and realism of generated videos, contributing to advancements in AI-driven content creation.
TinyNeuralNetwork: Model Compression Framework
Released in 2023, TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework. It enables the deployment of AI models on resource-constrained devices by reducing model size without compromising performance.
Arthas: Java Diagnostic Tool
Arthas, introduced by Alibaba in 2018, is a Java diagnostic tool that aids in troubleshooting and monitoring Java applications. It provides real-time insights into application performance, facilitating the optimization of AI and machine learning systems built on Java.
Spring Cloud Alibaba: Distributed Solutions
Spring Cloud Alibaba, launched in 2018, offers a one-stop solution for application development within distributed systems. It integrates various Alibaba middleware services, streamlining the development of scalable and resilient AI applications.
EasyParallelLibrary: Distributed Model Training
In 2022, Alibaba introduced EasyParallelLibrary, a general and efficient deep learning framework for distributed giant model training. It facilitates the training of large-scale AI models across multiple devices, enhancing computational efficiency and scalability.
https://github.com/alibaba/EasyParallelLibrary
Alibaba's EasyTransfer Platform
In 2020, Alibaba introduced EasyTransfer, a simple and scalable deep transfer learning platform tailored for NLP applications. It integrates comprehensive deep transfer learning algorithms and supports efficient training and inference, facilitating the development of industrial-scale NLP applications.
EasyNLP Toolkit by Alibaba
Released in 2022, EasyNLP is a comprehensive and user-friendly toolkit developed by Alibaba for building NLP applications. It supports a wide range of pre-trained models and offers functionalities for knowledge-enhanced pre-training, knowledge distillation, and few-shot learning, providing a unified framework for model training, inference, and deployment.
Alibaba's Qwen 2.5 AI Models
In September 2024, Alibaba released the Qwen 2.5 family of open-source AI models, comprising over 100 versions ranging from 0.5 to 72 billion parameters. These models exhibit proficiency in mathematics, coding, and support for multiple languages, catering to diverse AI applications across sectors such as automotive, gaming, and scientific research.
Pipcook: Machine Learning for Web Developers
Launched in 2020, Pipcook is an open-source machine learning platform developed by Alibaba specifically for web developers. It provides a modular architecture with well-defined APIs, enabling seamless integration of machine learning capabilities into web applications, thereby lowering the barrier for web developers to adopt AI technologies.
Spring AI Alibaba Framework
In 2023, Alibaba introduced Spring AI Alibaba, an application framework designed for Java developers to build AI-native applications. It supports various model types, including chat, text-to-image, audio transcription, and text-to-speech, and offers features like function calling and retrieval-augmented generation, streamlining the development of AI applications in the Java ecosystem.
DAMO-ConvAI: Conversational AI Toolkit
Introduced in 2022, DAMO-ConvAI is the official repository containing the codebase for Alibaba's DAMO Academy's conversational AI research. It encompasses various tools and models for building dialogue systems, reflecting Alibaba's advancements in natural language understanding and generation.
AliceMind: Pre-trained Models Collection
Since 2020, Alibaba's Machine IntelligeNce of Damo (MinD) Lab has developed AliceMind, a collection of pre-trained encoder-decoder models and related optimization techniques. This suite includes models like mPLUG-Owl2, designed to enhance large language models through multimodal collaboration, supporting tasks across text, image, and video modalities.
MNN: Mobile Neural Network Framework
In 2019, Alibaba launched MNN, a blazing fast, lightweight deep learning framework optimized for mobile and embedded devices. Serving as a core component in Alibaba's Walle System, MNN facilitates device-cloud collaborative machine learning, enabling efficient deployment of AI models across diverse hardware platforms.
Alink: Machine Learning on Apache Flink
Released in 2019, Alink is a machine learning algorithm platform based on Apache Flink, developed by Alibaba's PAI team. It provides a rich set of algorithms for tasks like classification, regression, clustering, and recommendation, enabling efficient data processing and analysis in real-time streaming and batch processing environments.
Alibaba Cloud Machine Learning Platform for AI (PAI)
In 2018, Alibaba introduced the Platform of Artificial Intelligence (PAI), a comprehensive machine learning platform designed to facilitate the development, training, and deployment of AI models at scale. PAI supports popular frameworks such as TensorFlow and PyTorch, and offers built-in algorithms and pre-trained models to accelerate AI adoption across various industries.