dataflowr.zip

hawem 5 0 ZIP 2021-02-09 18:02:53

五天入门深度学习pytorch版代码库,讲解清晰,简单易懂,有cv也有nlp

文件列表

dataflowr.zip (预估有个98文件)

dataflowr-master

Gradient_descent_optimization_algorithms_empty.ipynb 255KB

Notebooks

CAM.png 317KB

07_GAN_double_moon_empty.ipynb 17KB

GAN_double_moon_empty.ipynb 12KB

CAM.ipynb 441KB

04_dogscast_features_colab.ipynb 13KB

VAE_clustering_empty.ipynb 19KB

02_basics_pytorch.ipynb 35KB

05_Autoencoder_empty.ipynb 13KB

matrix_factorization.png 146KB

img

bmw_desert.jpeg 313KB

cbow.svg 22KB

skip-gram.svg 17KB

03_collaborative_filtering_X_empty.ipynb 34KB

06_introduction_NLP_empty.ipynb 25KB

utils.py 1KB

03_convolution-digit-recognizer_empty.ipynb 33KB

04_deeper

04_dropout_intro_colab.ipynb 9KB

04_dropout_mnist_colab.ipynb 26KB

04_dropout_mnist.ipynb 23KB

04_tensorboard_colab.ipynb 31KB

04_batchnorm_simple_colab.ipynb 18KB

04_batchnorm_simple.ipynb 15KB

04_dropout_intro.ipynb 6KB

denoisingAE.png 120KB

vgg16.png 62KB

NLPModel.py 4KB

11_char_rnn_LM_empty.ipynb 61KB

Precisionrecall.png 40KB

02_nn_without_pytorch.ipynb 77KB

03_siamese

03_siamese_triplet_mnist.ipynb 59KB

03_siamese_triplet_mnist_colab.ipynb 68KB

char_rnn_classification_tutorial.ipynb 21KB

05_collaborative_filtering.ipynb 108KB

01_intro_DLDIY.ipynb 442KB

04_dogscast_fromcolab_emty.ipynb 28KB

denoiseAE.png 37KB

Autoencoder_structure.png 48KB

RNN_practicals.ipynb 28KB

torch_utils.py 3KB

RNN_practicals_X.ipynb 28KB

Z2xbySO.png 21KB

03_autograd.ipynb 23KB

nlp_models.py 2KB

resnet.png 40KB

introduction_NLP.ipynb 327KB

Word2vec_pytorch_empty.ipynb 35KB

double_moon.npz 47KB

10_Adversarial_examples.ipynb 308KB

RNN_practicals_X_colab.ipynb 288KB

CEA_EDF_INRIA

aleatoric_regression_colab.ipynb 137KB

bayes_by_backprop_colab.ipynb 113KB

08_Word2vec_pytorch_empty_colab.ipynb 43KB

epistemic_regression.ipynb 120KB

AE_empty_colab.ipynb 17KB

img

CAM.png 317KB

denoisingAE.png 120KB

denoiseAE.png 37KB

Autoencoder_structure.png 48KB

resnet.png 40KB

08_Word2vec_pytorch_colab.ipynb 43KB

07_char_rnn_classification_tutorial_empty_colab.ipynb 29KB

07_RNN_practicals_colab.ipynb 38KB

VAE_filled_colab.ipynb 290KB

mixture_density_networks_colab.ipynb 539KB

VAE_empty_colab.ipynb 22KB

Adversarial_examples_colab.ipynb 322KB

08_Playing_with_word_embedding_colab.ipynb 12KB

epistemic_regression_colab.ipynb 126KB

03_collaborative_filtering_empty_colab.ipynb 31KB

06_GAN_double_moon_colab.ipynb 458KB

aleatoric_regression.ipynb 129KB

02_basics_pytorch_colab.ipynb 678KB

mixture_density_networks.ipynb 531KB

AE_filled_colab.ipynb 453KB

07_char_rnn_classification_tutorial_colab.ipynb 27KB

softmax_temperature.ipynb 41KB

softmax_temperature_colab.ipynb 43KB

03_convolution_digit_recognizer_empty_colab.ipynb 44KB

03_convolution_digit_recognizer_full_colab.ipynb 214KB

01_intro_DLDIY_colab.ipynb 50KB

bayes_by_backprop.ipynb 107KB

03_collaborative_filtering_full_colab.ipynb 60KB

CAM_colab.ipynb 11KB

06_GAN_double_moon_empty_colab.ipynb 22KB

Tutorial_packing_sequences.ipynb 25KB

NLP-attention

models.py 6KB

util_glove.py 993B

train.py 7KB

tokenizer-yelp.py 1KB

util.py 4KB

NLP mini-project.ipynb 3KB

glove_model.py 251B

ex_cmd.txt 546B

01_intro_DLDIY_colab.ipynb 41KB

.gitignore 68B

README.md 160B

Playing_with_word_embedding.ipynb 11KB

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dataflowr.zip

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