EM算法demo
混合高斯模型参数求解
Julian Qian qxj
qxj
/ patch_AppleHDA.kext.log
Created
May 6, 2018 16:17
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| $ sh audio_cloverALC-130.sh | |
| Agreement | |
| The audio_cloverALC script is for personal use only. Do not distribute | |
| the patch, any or all of the files or the resulting patched AppleHDA.kext | |
| for any reason without permission. The audio_cloverALC script is | |
| provided as is and without any kind of warranty. | |
| File: audio_cloverALC-130.command_v0.5 | |
| Release Mode |
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| // surfingkeys.js | |
| // | |
| // - map: normal mode | |
| // - imap: insert mode | |
| // - vmap: visual mode | |
| // - cmap: omnibar mode | |
| // | |
| // Simluate Vim keybind | |
| map("<Ctrl-[>", "<Esc>"); |
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| " .cvimrc | |
| " vim: ts=2 sts=2 sw=2 expandtab | |
| " let configpath = '~/.cvimrc' | |
| " set localconfig | |
| " Settings | |
| set autoupdategist | |
| set hud | |
| set smoothscroll |
qxj
/ 1.1.plane_fitting.py
Created
October 11, 2017 11:55
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| ''' | |
| 需要拟合的平面：y = W1 * x1_data + W2*x2_data + b，其中，已知x1_data、x2_data和y，但是都包含一点噪声。 | |
| ''' | |
| import tensorflow as tf | |
| import numpy as np | |
| # Create 100 phony x, y data points in NumPy, y = x * 0.1 + 0.3 | |
| x1_data = np.random.rand(100).astype(np.float32) | |
| x2_data = np.random.rand(100).astype(np.float32) |
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| /* | |
| *Caculator Parser | |
| * | |
| * expression | |
| * term | |
| * expression + term | |
| * expression - term | |
| * | |
| * term | |
| * primary |
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| # -*- mode: yaml -*- | |
| # | |
| # default.custom.yaml | |
| # | |
| # Composed by Julian Qian <junist@gmail.com> | |
| # | |
| patch: | |
| "menu/page_size": 5 |
Random Sampling
Reference https://github.com/tback/MLBook_source/
Notes about tensorflow
LR demo based on dmlc/ps-lite