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15 stars written in Jupyter Notebook
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🦜🔗 Build context-aware reasoning applications

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A latent text-to-image diffusion model

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21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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《统计学习方法》的代码实现

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PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

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FaceChain is a deep-learning toolchain for generating your Digital-Twin.

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Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!

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《统计学习方法》笔记-基于Python算法实现

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股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易

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人工精调的中文对话数据集和一段chatglm的微调代码

Jupyter Notebook 1,167 98 Updated May 6, 2024

[NeurIPS 2021] You Only Look at One Sequence

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Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。

Jupyter Notebook 830 272 Updated Feb 9, 2021

Multimodal Models in Real World

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使用numpy实现基本机器学习算法与特征提取算法

Jupyter Notebook 5 1 Updated Jul 5, 2019

Code used for the experiments of the paper "Benchmarking Normalization Layers in Federated Learning for Image Classification Tasks on non-IID scenarios"

Jupyter Notebook 4 1 Updated Feb 27, 2023