Machine-Learning-Specialization-Coursera 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅。
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
AdvBox 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅。
目前累计 1.4k star、265 fork,主要语言为 Jupyter Notebook,项目始于 2018 年,采用 Apache-2.0 许可。最近状态:已有一段时间未更新。适合:想补齐某块知识的开发者。
中文介绍优先采用本站人工维护条目;无维护条目时依据 GitHub 公开字段(语言、主题、星标、提交时间)自动生成,未经项目方确认,不构成选型结论。advboxes/AdvBox 是一个以 Jupyter Notebook 为主的开源项目,目前累计 1.4k star、265 fork,较长时间未更新。主要方向:adversarial-attacks、adversarial-example、adversarial-examples、深度学习、deepfool、fgsm。
依据 GitHub 公开字段(语言、主题、星标、提交时间)自动生成,未经人工逐项核实。Machine-Learning-Specialization-Coursera 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅。
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
TensorFlow-Tutorials 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅。
TensorFlow Tutorials with YouTube Videos
notebooks 是用 Jupyter Notebook 编写的 AI 工具,用于人工智能方向的建模与推理。
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet …
AIMLInterviews 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅,主打功能完整。
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
models 是用 Jupyter Notebook 编写的学习资料,用于系统学习与查阅。
A collection of pre-trained, state-of-the-art models in the ONNX format
computervision-recipes 是用 Jupyter Notebook 编写的 AI 工具,用于人工智能方向的建模与推理。
Best Practices, code samples, and documentation for Computer Vision.
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