An Open Source Machine Learning Framework for Everyone
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搜索结果: learning-resources
英文目录🤗 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.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
scikit-learn: machine learning in Python
Deep Learning for humans
A curated list of resources and tools for enhancing Claude AI workflows.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A comprehensive toolkit for enhancing GitHub Copilot with specialized agents, instructions, and workflows.
Visualizer for neural network, deep learning and machine learning models
The fastai deep learning library
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.