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treelib
|
public |
A Python 2/3 implementation of tree structure.
|
2021-06-04 |
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sklearn-pandas
|
public |
sklearn-pandas -- bridge code for cross-validation of pandas data frames with sklearn
|
2021-06-04 |
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joblib
|
public |
Python function as pipeline jobs
|
2021-06-04 |
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gzip
|
public |
No Summary
|
2021-06-04 |
|
jupyter_client
|
public |
No Summary
|
2021-06-04 |
|
python
|
public |
No Summary
|
2021-06-04 |
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scikit-learn
|
public |
No Summary
|
2021-06-04 |
|
devel
|
public |
No Summary
|
2021-06-04 |
|
threadpoolctl
|
public |
Python helpers to control the threadpools of native libraries
|
2021-06-04 |
|
uwsgi
|
public |
No Summary
|
2021-06-04 |
|
thrift_sasl
|
public |
No Summary
|
2020-09-04 |
|
thriftpy2
|
public |
No Summary
|
2020-09-04 |
|
thrift
|
public |
No Summary
|
2020-09-04 |
|
xgboost
|
public |
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework.
|
2020-09-04 |
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impyla
|
public |
No Summary
|
2020-09-04 |
|
six
|
public |
No Summary
|
2020-09-04 |
|
pure-sasl
|
public |
No Summary
|
2020-09-04 |
|
cython
|
public |
No Summary
|
2020-09-04 |
|
anaconda
|
public |
No Summary
|
2020-09-04 |
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toree
|
public |
No Summary
|
2020-03-13 |
|
r-e1071
|
public |
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly; E1071), TU Wien
|
2020-03-13 |
|
networkx
|
public |
No Summary
|
2020-03-13 |
|
seaborn
|
public |
Statistical data visualization
|
2019-12-23 |
|
pynacl
|
public |
No Summary
|
2019-11-07 |
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paramiko
|
public |
No Summary
|
2019-11-07 |
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hypothesis
|
public |
No Summary
|
2019-11-07 |
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bcrypt
|
public |
No Summary
|
2019-11-07 |
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bash
|
public |
No Summary
|
2019-11-07 |
|
apache-maven
|
public |
A software project management and comprehension tool. Based on the concept of a project object model (POM), Maven can manage a project's build, reporting and documentation from a central piece of information.
|
2019-11-07 |
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yarn-api-client
|
public |
No Summary
|
2019-11-07 |
|
jupyter_kernel_gateway
|
public |
No Summary
|
2019-11-07 |
|
jupyter_enterprise_gateway
|
public |
No Summary
|
2019-11-07 |
|
zlib
|
public |
No Summary
|
2019-11-07 |
|
xlc-wrapper
|
public |
No Summary
|
2019-11-07 |
|
r-zoo
|
public |
No Summary
|
2019-11-07 |
|
r-yaml
|
public |
Methods to Convert R Data to YAML and Back
|
2019-11-07 |
|
r-xts
|
public |
eXtensible Time Series
|
2019-11-07 |
|
r-xtable
|
public |
No Summary
|
2019-11-07 |
|
r-xml2
|
public |
No Summary
|
2019-11-07 |
|
r-xfun
|
public |
Miscellaneous Functions by 'Yihui Xie'
|
2019-11-07 |
|
r-withr
|
public |
No Summary
|
2019-11-07 |
|
r-whisker
|
public |
No Summary
|
2019-11-07 |
|
r-viridislite
|
public |
No Summary
|
2019-11-07 |
|
r-uuid
|
public |
No Summary
|
2019-11-07 |
|
r-utf8
|
public |
No Summary
|
2019-11-07 |
|
r-unitizer
|
public |
Interactive R Unit Tests
|
2019-11-07 |
|
r-ttr
|
public |
Technical Trading Rules
|
2019-11-07 |
|
r-tinytex
|
public |
No Summary
|
2019-11-07 |
|
r-timedate
|
public |
The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.
|
2019-11-07 |
|
r-tidyselect
|
public |
Select from a Set of Strings
|
2019-11-07 |