Leap provides a simple and easy-to-use API and SDK to help developers add artificial intelligence to their applications within minutes, such as generating images, editing images, fine-tuning models, retrieving text context, etc.

Lightning AI is a platform for building models and building/publishing Lightning Apps (ML workflow templates), launched by the Pytorch Lightning team - a deep learning framework for rapid training, deployment, and development of artificial intelligence products.

The Large Language Model (LLM) is becoming a revolutionary technology that enables developers to build applications that were previously impossible to build. However, using these LLMs alone is often not enough to create a truly powerful application - when you can combine them with other computing or knowledge sources, you may realize their true capabilities.

NLTK (Natural Language Toolkit) is an open-source Python module, dataset, and tutorial that supports research and development of natural language processing. NLTK requires Python versions 3.7, 3.8, 3.9, 3.10, or 3.11.

Google JAX is a machine learning framework for transforming numerical functions, which Google refers to as XLA (Accelerated Linear Algebra) that combines modified versions of Autograd (gradient function automatically obtained through function differentiation) and TensorFlow. The design of this framework follows the structure and workflow of NumPy as much as possible, and works collaboratively with various existing frameworks such as TensorFlow and PyTorch. The main functions of JAX include: Grad: Automatic differentiation Jit: compile Vmap: automatic vectorization Pmap: SPMD programming

Deeplearning4j is one of the few machine learning frameworks written native to Java, targeting Java Virtual Machines (JVMs).

Essential Package for Python Scientific Computing

Caffe (Convolutional Architecture for Fast Feature Embedding) is an open-source deep learning framework originally developed by Yangqing Jia from the University of California, Berkeley. In April 2017, Facebook released Caffe2, which includes new features such as Recurrent Neural Networks (RNNs). At the end of March 2018, Caffe2 was merged into PyTorch.

Python version of TensorFlow deep learning API

The Vercel AI SDK is a development kit launched by the front-end website development and hosting platform and Next.js development team "Vercel" for quickly building AI chatbot website applications. It can help developers build conversational AI user interfaces using JavaScript and TypeScript.

Label Studio is a free and open-source data annotation tool launched by Human Signal (formerly Heartex). The project has a star rating of nearly 14000 on GitHub, which can help developers fine tune large language models, prepare training data, or validate AI models.

MLX is an array framework for machine learning developed by Apple's machine learning research team. This open-source framework is designed and optimized specifically for Apple Silicon chips, drawing inspiration from frameworks such as NumPy, PyTorch, Jax, and ArrayFire. It provides a simple and user-friendly approach to help developers effectively develop, train, and deploy models on Apple's M-series chips.

Python Machine Learning Library

Free and open-source deep learning framework

MindSpore is a new open-source deep learning training/inference framework developed by Huawei for edge cloud scenarios. MindSpore provides user-friendly design and efficient execution, aiming to enhance the development experience of data scientists and algorithm engineers, and provides native support for Ascend AI processors, as well as software and hardware co optimization.

Open source machine learning framework

Open source machine learning framework

Google's Open Source Library for Machine Learning and Artificial Intelligence