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Ojhaharsh

Ojhaharsh/30u30

30u30是一个开源AI学习指南,基于Ilya Sutskever推荐的30篇基础论文,每天一篇。提供从零开始的完整代码实现、详细笔记和交互式练习,旨在帮助用户深入理解深度学习原理,类似Rustlings但专注于AI领域。

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技术栈

papers/01_Unreasonable_Effectiveness python

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NumPy ipykernel jupyter matplotlib seaborn tqdm

papers/02_Understanding_LSTM python

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NumPy ipykernel jupyter matplotlib seaborn tqdm

papers/03_RNN_Regularization python

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NumPy ipykernel jupyter matplotlib scikit-learn seaborn tqdm

papers/04_Minimizing_Description_Length python

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NumPy ipykernel jupyter matplotlib scipy seaborn tqdm

papers/05_MDL_Principle python

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NumPy matplotlib scipy

papers/06_Complexodynamics python

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NumPy matplotlib

papers/07_coffee_automaton python

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NumPy matplotlib

papers/08_alexnet python

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pytest
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NumPy Pandas albumentations black flake8 ipython ipywidgets jupyter matplotlib opencv-python pillow scikit-learn tensorboard torch torchaudio torchvision tqdm wandb

papers/09_resnet python

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pytest
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NumPy Pandas albumentations black flake8 graphviz ipython ipywidgets jupyter matplotlib opencv-python pillow scikit-learn tensorboard torch torchaudio torchvision torchviz tqdm wandb

papers/10_resnet_v2 python

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pytest
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NumPy Pandas albumentations apex black flake8 graphviz ipython ipywidgets jupyter matplotlib opencv-python pillow scikit-learn tensorboard torch torchaudio torchvision torchviz tqdm wandb

papers/11_dilated_convolutions python

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pytest
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NumPy Pandas albumentations black cityscapesscripts flake8 graphviz ipython ipywidgets jupyter librosa matplotlib opencv-python pillow pycocotools scikit-learn soundfile tensorboard torch torchaudio torchvision torchviz tqdm wandb

papers/12_dropout python

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NumPy ipykernel jupyter matplotlib tqdm

papers/13_attention python

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NumPy ipykernel jupyter matplotlib tqdm

papers/14_annotated_transformer python

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NumPy ipywidgets jupyter matplotlib seaborn torch tqdm

papers/15_bahdanau_attention python

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NumPy matplotlib torch

papers/16_order_matters python

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NumPy jupyter matplotlib notebook scipy torch tqdm

papers/17_neural_turing_machines python

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NumPy ipython matplotlib notebook scipy torch

papers/18_pointer_networks python

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NumPy matplotlib scipy torch

papers/19_relational_reasoning python

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NumPy PIL matplotlib scipy torch

papers/20_Relational_RNNs python

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NumPy matplotlib torch

papers/21_Neural_Message_Passing python

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NumPy matplotlib networkx torch

papers/22_deep_speech_2 python

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NumPy matplotlib torch

papers/23_variational_lossy_autoencoder python

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NumPy matplotlib torch torchvision

papers/24_gpipe python

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NumPy matplotlib torch

papers/25_scaling_laws python

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NumPy Pandas ipython jupyter matplotlib scipy seaborn torch tqdm

papers/26_kolmogorov_complexity python

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NumPy ipykernel jupyter matplotlib seaborn

papers/27_MSI python

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NumPy ipykernel jupyter matplotlib

papers/28_CS231n python

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NumPy matplotlib

papers/29_PPO python

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NumPy gymnasium matplotlib torch

papers/30_RLHF python

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NumPy gymnasium matplotlib torch

根目录 python

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NumPy black ipykernel jupyter jupyter_contrib_nbextensions matplotlib seaborn tqdm

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