## Markov Chain Monte Carlo
I implement from scratch, the Metropolis-Hastings algorithm in Python to find parameter distributions for a dummy data example and then of a real world problem.
I will only use numpy to implement the algorithm, and matplotlib to present the results. Scipy can be used to compute the density functions when needed, but I will also show how to implement them using numpy.
使用Python、MATLAB或R实现一些深度学习算法.zip
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使用Python、MATLAB或R实现一些深度学习算法.zip （86个子文件） 
projectcode30312 StudyNotes 交叉熵 
CrossEntropy.md 19KB
CrossEntropy.pdf 618KB README.md 1B 交叉熵的学习.ipynb 189KB MCMC MCMC估计后验分布 
output_28_2.png 114KB MCMC.ipynb 875KB data 
Casino1.jpg 72KB finalprediction.PNG 34KB Sunspot1.jpg 710KB sunspotcount.PNG 37KB pdfgamma.PNG 4KB Bayes.PNG 4KB Bayes3.PNG 16KB Bayes2PNG.PNG 23KB Thomas-Bayes.jpg 550KB sigma2.PNG 4KB predict1.PNG 37KB Like2.PNG 6KB Sunspot2.jpg 114KB Ratio 4.PNG 10KB like.PNG 16KB tracea.PNG 98KB Ratio2.PNG 6KB Ratio.PNG 3KB SN_m_tot_V2.0.csv 120KB gamma.PNG 86KB FrequentistPNG.PNG 4KB Acceptance.PNG 20KB sigma.PNG 6KB joint.PNG 40KB Ratio3.PNG 6KB Acceptance2.PNG 52KB Sleep.PNG 7KB pdf.PNG 13KB sunspot.PNG 157KB 3figures.PNG 234KB muobs.PNG 898B autocorr.PNG 56KB trace.PNG 93KB rk.PNG 6KB Q.PNG 5KB README.md 1B figure2-3.PNG 291KB traceb.PNG 106KB MH.PNG 19KB Fig1.PNG 25KB LICENSE 1KB output_12_1.png 11KB output_22_0.png 47KB output_24_2.png 36KB output_20_1.png 283KB output_40_2.png 14KB output_35_1.png 146KB output_38_1.png 38KB output_38_3.png 42KB README.md 409B output_30_2.png 14KB output_38_2.png 40KB MCMC.pdf 4.01MB MCMC.md 166KB MCMC的实现.ipynb 98KB README.md 1B README.md 1B myVAE mainOfvae.py 10KB ae.py 1KB mainOfae.py 3KB
PyCharm自动生成的文件.zip 6KB Tutorial on Variational Autoencoders.pdf 852KB vae.py 3KB checkPoint model_best.pth 7.48MB checkpoint.pth 7.48MB VAEResult reconstructed-5.png 135KB reconstructed-1.png 231KB reconstructed-7.png 139KB random_sampled-20.png 84KB random_sampled-10.png 83KB reconstructed-6.png 139KB reconstructed-2.png 151KB reconstructed-4.png 139KB reconstructed-3.png 147KB reconstructed-10.png 133KB reconstructed-9.png 130KB reconstructed-8.png 132KB README.md 1B mnist MNIST processed test.pt 7.55MB README.md 137B资源评论
