notebooks:笔记本
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2021-05-18
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Tyler series.ipynb 64KB MCMC Prediction.ipynb 106KB .ipynb_checkpoints Tyler series-checkpoint.ipynb 72B Normal Distribution.ipynb 44KB gibbs-sampling.ipynb 273KB README.md 150B mathjax.tpl 944B Notebook Style.ipynb 4KB test PYMC.ipynb 78KB Theano clip with NaN.ipynb 2KB .ipynb_checkpoints PYMC-checkpoint.ipynb 72B Numpy 3d tensor test-checkpoint.ipynb 72B Theano clip with NaN-checkpoint.ipynb 72B Theano convolution test-checkpoint.ipynb 72B RNN RELU Gradient test-checkpoint.ipynb 107KB RNN RELU Gradient test.ipynb 107KB Theano convolution test.ipynb 35KB Numpy 3d tensor test.ipynb 2KB Notebook Management.ipynb 35KB .ipynb_checkpoints Bayes4 Sildes-checkpoint.ipynb 648KB Gradient Decendent-checkpoint.ipynb 95KB Markov Decision Process-checkpoint.ipynb 29KB Notebook Style-checkpoint.ipynb 4KB Markdown Conversion -checkpoint.ipynb 509B summo-checkpoint.ipynb 20KB Hidden Markov Model-checkpoint.ipynb 99KB MCMC Prediction-checkpoint.ipynb 106KB WAT2014 slide-checkpoint.ipynb 2KB Matrix Factorization-checkpoint.ipynb 4KB What can PRML do-checkpoint.ipynb 1KB Normal Distribution-checkpoint.ipynb 44KB pysmt-checkpoint.ipynb 4KB Random Forest-checkpoint.ipynb 109KB Untitled0-checkpoint.ipynb 181B Logistic Regression-checkpoint.ipynb 448KB Notebook Management-checkpoint.ipynb 35KB Metropolis-Hastings-checkpoint.ipynb 157KB Theano - Logistic Regression-checkpoint.ipynb 59KB gibbs-sampling-checkpoint.ipynb 273KB Recurrent Neural Network Language Model-checkpoint.ipynb 7KB projects PYSMT.ipynb 3KB summo.ipynb 18KB pysmt.ipynb 11KB notes 
Bayes4 Sildes.slides.html 859KB What can PRML do.ipynb 1KB Bayes4 Sildes.ipynb 648KB WAT2014 slide.ipynb 868B machine_learning Logistic Regression.ipynb 448KB Theano - Logistic Regression.ipynb 62KB Markov Chain Monte Carlo.ipynb 868KB .ipynb_checkpoints Visualize optimization-checkpoint.ipynb 2.33MB EM Algorithm-checkpoint.ipynb 26KB Markov Chain Monte Carlo-checkpoint.ipynb 845KB EM Algorithm.ipynb 26KB Random Forest.ipynb 109KB Markov Decision Process.ipynb 29KB Hidden Markov Model.ipynb 99KB Visualize optimization.ipynb 3.49MB Gradient Decendent.ipynb 95KB experiments Click Competetion.ipynb 248KB kaggle_facebook_competetion evaluate feature 2.ipynb 542KB .ipynb_checkpoints feature selection-checkpoint.ipynb 72B evaluate feature 2-checkpoint.ipynb 72B feature selection.ipynb 256KB paraphrase_identification raw_data 
test.txt 423KB train.txt 1003KB .ipynb_checkpoints msrp_word2vec_data-checkpoint.ipynb 72B msrp_word2vec_data.ipynb 3KB draw animation.ipynb 10KB .ipynb_checkpoints animation-checkpoint.ipynb 72B test_functionality-checkpoint.ipynb 33KB test_functionality.ipynb 33KB conversation MSR data.ipynb 5KB .ipynb_checkpoints MSR data-checkpoint.ipynb 72B untitled.txt 0B ridatsu_competition .ipynb_checkpoints First try-checkpoint.ipynb 62KB First try.ipynb 62KB attention_model .ipynb_checkpoints plot-checkpoint.ipynb 112KB plot.ipynb 215KB .DS_Store 6KB python Markdown Conversion .ipynb 3KB Matrix Factorization.ipynb 4KB Metropolis-Hastings.ipynb 157KB资源评论
