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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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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
测试
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
测试
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
测试
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
测试
pytest
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NumPy
Pandas
albumentations
black
cityscapesscripts
flake8
graphviz
ipython
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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