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jxcodetw / tsne_nn.py
Created February 26, 2020 09:57
import torch
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from openTSNE import TSNE
import numpy as np
import matplotlib.pyplot as plt
from sklearn.manifold import SpectralEmbedding
from scipy.sparse import save_npz, load_npz
from functools import partial
@jxcodetw
jxcodetw / UMAP_NN_batched.py
Created February 23, 2020 17:55
import torch
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from umap.umap_ import fuzzy_simplicial_set, find_ab_params
import numpy as np
import matplotlib.pyplot as plt
from sklearn.manifold import SpectralEmbedding
from scipy.sparse import save_npz, load_npz
import random
@jxcodetw
jxcodetw / UMAP_pytorch.py
Created February 21, 2020 01:03
import torch
import torch.optim as optim
import torch.nn.functional as F
from openTSNE import TSNE
from umap.umap_ import fuzzy_simplicial_set, find_ab_params
import numpy as np
import matplotlib.pyplot as plt
from sklearn.manifold import SpectralEmbedding
from scipy.sparse import save_npz, load_npz
import random
@jxcodetw
jxcodetw / largevis_nn.py
Created February 20, 2020 21:10
import torch
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from openTSNE import TSNE
import numpy as np
import matplotlib.pyplot as plt
from sklearn.manifold import SpectralEmbedding
from scipy.sparse import save_npz, load_npz
import random
@jxcodetw
jxcodetw / twc01_top20Light.json
Created June 21, 2019 08:45
{
"lkunrate": [
{
"startDate": "2002-03-11",
"endDate": "2002-08-26",
"light": 1,
},
{
"startDate": "2002-09-02",
"endDate": "2002-12-02",
@jxcodetw
jxcodetw / random_interpolation.py
Created June 15, 2019 05:38
# draw a bunch of samples
def random_walk(png, Gs, cx, cy, cw, ch, step, seeds):
print(png)
latents = np.stack(np.random.RandomState(seed).randn(Gs.input_shape[1]) for seed in seeds)
# images = Gs.run(latents, None, **synthesis_kwargs) # [seed, y, x, rgb]
idx = 0
for idxx, (l1, l2) in enumerate(zip(latents, latents[1:])):
print(idxx, '/', len(latents))
latent = np.stack([l1 * (1-alpha) + l2 * alpha for alpha in np.linspace(0, 1, step)])
@jxcodetw
jxcodetw / pytorch-gputest.py
Created April 30, 2019 04:23
import torch
import torch.nn as nn
from tqdm import tqdm
device = torch.device('cuda')
# 5629MiB / 11178MiB
# NVIDIA-SMI 410.78 Driver Version: 410.78 CUDA Version: 10.0
torch.backends.cudnn.benchmark = True
@jxcodetw
jxcodetw / keybase.md
Created January 4, 2018 06:42

Keybase proof

I hereby claim:

  • I am jxcodetw on github.
  • I am jxcode (https://keybase.io/jxcode) on keybase.
  • I have a public key ASCgw1-M_ZrHroHTRAsmylxMFg9Gb7FGRaEbnGpkpYxngAo

To claim this, I am signing this object:

@jxcodetw
jxcodetw / blogger.xml
Created September 24, 2017 12:19
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE html>
<html b:version='2' expr:dir='data:blog.languageDirection' xmlns='http://www.w3.org/1999/xhtml' xmlns:b='http://www.google.com/2005/gml/b' xmlns:data='http://www.google.com/2005/gml/data' xmlns:expr='http://www.google.com/2005/gml/expr'>
<head>
<meta content='width=device-width, initial-scale=1' name='viewport'/>
<title><data:view.title.escaped/></title>
<b:include data='blog' name='all-head-content'/>
<!-- CSS STARTS -->
<b:skin><![CDATA[
body, pre{ font-size: 1rem; font-style: normal; font-family: Menlo,Monaco,Lucida Console,Liberation Mono,DejaVu Sans Mono,Bitstream Vera Sans Mono,Courier New,monospace,serif; text-rendering: geometricPrecision; background: #002b36; color: #93a1a1; line-height: 1.4rem;}a { color: #ff9800; text-decoration: none; border-bottom: 1px solid #ff2e88;}a[href*="://"]:after { content: " " url("data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20class='i-external'%20viewBox='0%200
@jxcodetw
jxcodetw / cramer's rule.c
Created June 1, 2017 05:37
#include <stdio.h>
#include <math.h>
#define MAX 100
double M[MAX][MAX]; // matrix
bool DR[MAX]; // row that has been deleted
int row, col; // maxrow, maxcol
int sub; // col to be substituted