Showing 181-200 of 1,983 projects
A tool for quickly creating and running optimized virtual machines for Windows, macOS, and Linux.
Burn is a high-performance tensor library and deep learning framework for AI and scientific computing in Rust.
A conversational dialog engine for creating chatbots using machine learning and Python.
A fast, lightweight deep learning framework used in Alibaba's business-critical use cases, supporting LLM and 3D avatar apps.
A C++ toolkit for building real-world machine learning and computer vision applications.
A simple, state-of-the-art NLP framework for tasks like named entity recognition and semantic role labeling.
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
A comprehensive learning resource for data science and machine learning, covering a wide range of topics and tools.
A comprehensive repository covering papers, codes, datasets, tutorials, and applications for transfer learning, domain adaptation, and more.
A free MLOps course that covers machine learning model deployment and monitoring
Bullet Physics SDK is a real-time collision detection and multi-physics simulation library for VR, games, robotics and more.
Ivy is a Python library that simplifies converting machine learning code between frameworks like PyTorch, TensorFlow, and JAX.
A tensor library for machine learning, with a focus on large language models and automatic differentiation.
Unstructured is an open-source ETL solution for transforming complex documents into structured data for language models.
A comprehensive collection of curated resources for building on Amazon Web Services (AWS).
A PDF version of the renowned MIT Deep Learning Book, a comprehensive resource for studying machine learning and neural networks.
Tools to quickly set up a macOS virtual machine on Linux using QEMU and KVM acceleration.
An open-source machine translation API that is self-hosted, offline-capable, and easy to set up.
A curated list of references for MLOps, the practice of managing and automating machine learning workflows.
Optuna is a hyperparameter optimization framework that enables efficient and scalable model tuning for machine learning.
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