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High-performance data engine for AI and multimodal workloads, processing images, audio, video, and structured data at scale.
A Python SDK for building AI agents with a model-driven approach in just a few lines of code.
ZenML is a production-ready AI platform that provides a unified framework for building, deploying, and managing ML pipelines and agents.
Language Technology Platform for Chinese NLP, providing powerful models and tools for developers.
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A PyTorch-based implementation of the Single Shot MultiBox Detector for object detection in computer vision tasks.
SynapseML is a simple and distributed machine learning library for building and deploying AI models at scale.
A comprehensive guide to start and improve in machine learning and AI, covering the latest techniques and tools.
Sqlflow brings SQL and AI together, allowing developers to build intelligent data-driven applications.
Core ML tools for converting, editing, and validating machine learning models for deployment.
Interactive 3D visualization framework for pre-trained deep learning models, supporting TensorFlow, Keras and TensorFlow.js.
A comprehensive collection of free resources for learning and practicing data science, including AI and ML tools.
An image augmentation library in Python for machine learning and deep learning applications.
A Python library for probabilistic time series modeling and forecasting, useful for data scientists and ML engineers.
A high-performance machine learning library for CUDA-enabled GPUs, accelerating data science workflows.
A beginner's guide to machine learning and image classification with neural networks in Python.
Kodezi Chronos is a state-of-the-art debugging-first language model for code analysis and bug fixing.
A Python library of extension and helper modules for data analysis and machine learning.
A curated list of awesome MLOps tools to help developers build, deploy, and monitor machine learning models
A Python library for learning machine learning and deep learning using PyTorch and Scikit-Learn.
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