-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
140 lines (110 loc) · 8.2 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
<!doctype html>
<html>
<head>
<meta charset="utf-8">
<title>Techtonique/Packages</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<!-- spacelab litera sandstone cyborg slate -->
<link rel="stylesheet" href="https://bootswatch.com/4/darkly/bootstrap.css" media="screen">
<link rel="stylesheet" href="https://bootswatch.com/_assets/css/custom.min.css">
<link rel="icon" type="image/png" href="images/t-logo.png">
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-146345113-2">
</script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-146345113-2');
</script>
</head>
<body>
<div class="navbar navbar-expand-lg fixed-top navbar-dark bg-dark">
<div class="container">
<a href="/" class="navbar-brand">Techtonique</a>
<button class="navbar-toggler" type="button" data-toggle="collapse"
data-target="#navbarResponsive" aria-controls="navbarResponsive" aria-expanded="false"
aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarResponsive" style="">
<ul class="navbar-nav">
<li class="nav-item">
<a class="nav-link" href="https://github.com/Techtonique/">GitHub</a>
</li>
</ul>
</div>
</div>
</div>
<div class="container">
<div class="page-header" id="banner">
<div class="row">
<div class="col-lg-8 col-md-7 col-sm-6">
<h1>Techtonique</h1>
<p class="lead">Packages</p>
<br>
</div>
<div class="col-lg-4 col-md-5 col-sm-6">
<div class="sponsor">
<img src="images/t-logo.png" alt="Logo">
<!-- <script async type="text/javascript" src="//cdn.carbonads.com/carbon.js?serve=CKYIE23N&placement=bootswatchcom" id="_carbonads_js"></script> -->
</div>
</div>
</div>
</div>
</div>
<br>
<br>
<div class="container">
<div class="row">
<div class="bs-component">
<div class="col-lg-12">
<p>Welcome to <b>Techtonique/Packages</b>.
<br>
<br>
<b>Techtonique = tech, statistics, machine learning,
computer simulation, numerical optimization. </b>
<br>
Here, you'll find
<b>examples + documentation</b> for
<b> <a href="https://github.com/Techtonique">Techtonique</a></b>'s tools.
<br>
<br>
Currently available:
<ul>
<li> <a href="nnetsauce/index.html">nnetsauce</a> Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks | <a href="https://pepy.tech/project/nnetsauce"><img alt="Downloads" src="https://static.pepy.tech/badge/nnetsauce" /></a> <a href="https://anaconda.org/conda-forge/nnetsauce"> <img src="https://anaconda.org/conda-forge/nnetsauce/badges/downloads.svg" /> </a> </li>
<li> <a href="mlsauce/index.html">mlsauce for Python</a> and <a href="mlsauce_r/index.html">mlsauce for R</a> Miscellaneous Statistical/Machine Learning stuff | <a href="https://pepy.tech/project/mlsauce"><img alt="Downloads" src="https://static.pepy.tech/badge/mlsauce" /></a> <a href="https://anaconda.org/conda-forge/mlsauce"> <img src="https://anaconda.org/conda-forge/mlsauce/badges/downloads.svg" /> </a> </li>
<li> <a href="ahead/index.html">ahead (for R)</a> and <a href="ahead_python/index.html">ahead (for Python)</a> Univariate and Multivariate time series forecasting | <a href="https://pepy.tech/project/ahead"><img alt="Downloads" src="https://static.pepy.tech/badge/ahead" /></a> <a href="https://anaconda.org/conda-forge/ahead_python"> <img src="https://anaconda.org/conda-forge/ahead_python/badges/downloads.svg" /> </a> </li>
<li> <a href="GPopt/index.html">gpopt</a> Bayesian optimization using Gaussian Process Regression | <a href="https://pepy.tech/project/gpopt"><img alt="Downloads" src="https://static.pepy.tech/badge/gpopt" /></a> </li>
<li> <a href="bcn/index.html">bcn (for R)</a> and <a href="bcn_python/index.html">BCN (for Python)</a> Boosted Configuration (neural) Networks for supervised learning | <a href="https://pepy.tech/project/bcn"><img alt="Downloads" src="https://static.pepy.tech/badge/bcn" /></a></li>
<li> <a href="teller/index.html">teller</a> Model-agnostic Statistical/Machine Learning explainability | <a href="https://pepy.tech/project/the-teller"><img alt="Downloads" src="https://static.pepy.tech/badge/the-teller" /></a> </li>
<li> <a href="querier/index.html">querier</a> A query language for Python Data Frames | <a href="https://pepy.tech/project/querier"><img alt="Downloads" src="https://static.pepy.tech/badge/querier" /></a> </li>
<li> <a href="ESGtoolkit/index.html">esgtoolkit</a> A toolkit for Monte Carlo Simulations in Finance, Economics, Insurance, Physics <a href="https://pepy.tech/project/esgtoolkit"><img alt="Downloads" src="https://static.pepy.tech/badge/esgtoolkit" /></a> </li>
<li> <a href="rtopy/index.html">rtopy</a> Calling R functions in Python | <a href="https://pepy.tech/project/rtopy"><img alt="Downloads" src="https://static.pepy.tech/badge/rtopy" /></a> <a href="https://anaconda.org/conda-forge/rtopy"> <img src="https://anaconda.org/conda-forge/rtopy/badges/downloads.svg" /> </a> </li>
<li> <a href="crossvalidation/index.html">crossvalidation</a> Generic R functions for cross-validation</li>
<li> <a href="learningmachine/index.html">learningmachine (for R)</a> and <a href="learningmachine_python/index.html">learningmachine (for Python)</a> Machine Learning with Explanations and Uncertainty Quantification | <a href="https://pepy.tech/project/learningmachine"><img alt="Downloads" src="https://static.pepy.tech/badge/learningmachine" /></a> </li>
<li> <a href="unifiedbooster/index.html">unifiedbooster</a> Unified interface for Gradient Boosted Decision Trees algorithms | <a href="https://pepy.tech/project/unifiedbooster"><img alt="Downloads" src="https://static.pepy.tech/badge/unifiedbooster" /></a> </li>
<li> <a href="misc/index.html">misc</a> Miscellaneous useful R functions</li>
<li> <a href="techtonique_api_py/index.html">Techtonique API calls in Python</a> and <a href="techtonique_api_r/index.html">Techtonique API calls in R</a> | <a href="https://pepy.tech/project/forecastingapi"><img alt="Downloads" src="https://static.pepy.tech/badge/forecastingapi" /></a> </li>
<li>
<a href="survivalist/index.html">survivalist</a> Survival analysis with Machine Learning and uncertainty quantification | <a href="https://pepy.tech/project/survivalist"><img alt="Downloads" src="https://static.pepy.tech/badge/survivalist" /></a>
</li>
</ul>
</p>
</div>
</div>
</div>
</div>
<hr>
<footer>
<div class="container">
© <a href="https://thierrymoudiki.github.io">T. Moudiki</a>
</div>
</footer>
<script src="https://bootswatch.com/_vendor/jquery/dist/jquery.min.js"></script>
<script src="https://bootswatch.com/_vendor/popper.js/dist/umd/popper.min.js"></script>
<script src="https://bootswatch.com/_vendor/bootstrap/dist/js/bootstrap.min.js"></script>
<script src="https://bootswatch.com/_assets/js/custom.js"></script>
</body>
</html>