Free to explore · curated by OneWave AI
130 developer tools projects. Libraries, CLIs and infrastructure for building with AI.
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
🐍 Geometric Computer Vision Library for Spatial AI
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
TensorFlow-based neural network library
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Flower: A Friendly Federated AI Framework
An open source library for deep learning end-to-end dialog systems and chatbots.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.