{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"thermoencoder","owner":"kmedian","isFork":false,"description":"thermometer encoding with sklearn interface","allTopics":["sklearn","feature-engineering","ordinal","sklearn-compatible","ordinal-encoder","ordinal-features","thermometer-encoding","pypi"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":7,"starsCount":1,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-02T15:15:14.949Z"}},{"type":"Public","name":"yearfrac","owner":"kmedian","isFork":false,"description":"Difference between dates as a fraction of 1 year","allTopics":["day-count","date-calculation","year-difference","day-count-method","icma","pypi","isda"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":5,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-05-09T08:55:04.927Z"}},{"type":"Public","name":"keras-layernorm-rnn","owner":"kmedian","isFork":false,"description":"RNNs with layer normalization; Prep package for tensorflow/addons, see v0.8.2, and commit <a href=\"https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa\">https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa</a>","allTopics":["tensorflow","keras","rnn","rnn-tensorflow","layer-normalization","recurrent-neural-network","simplernn","rnn-keras"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-03-25T00:35:27.221Z"}},{"type":"Public","name":"korr","owner":"kmedian","isFork":false,"description":"collection of utility functions for correlation analysis","allTopics":["python","eda","p-value","pearson","confusion-matrix","correlation-matrix","kendall-tau","pearson-correlation","rank-correlation","matthews","sample-correlation","binary-correlation","correlation","pypi","correlation-analysis","spearman","kendall","correlation-pairs"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":7,"forksCount":3,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-19T21:09:47.071Z"}},{"type":"Public","name":"threesplit","owner":"kmedian","isFork":false,"description":"Three-way data split into training set, validation set, and test set.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-04-27T18:02:43.295Z"}},{"type":"Public","name":"datefeatures","owner":"kmedian","isFork":false,"description":"Feature engineering sklearn transformer for dates","allTopics":["sklearn","feature-engineering","sklearn-compatible","date-features","pypi"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":5,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-04-27T18:00:32.068Z"}},{"type":"Public","name":"randdate","owner":"kmedian","isFork":false,"description":"Generate a list of random dates or resp. datetime objects","allTopics":["pypi"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-04-27T17:58:54.228Z"}},{"type":"Public","name":"pdtweak","owner":"kmedian","isFork":false,"description":"pandas utility functions","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-02-17T09:15:15.105Z"}},{"type":"Public","name":"numertweak","owner":"kmedian","isFork":false,"description":"some utility functions for the numerai competition","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-04T16:07:18.335Z"}},{"type":"Public","name":"nptweak","owner":"kmedian","isFork":false,"description":"utility functions for numpy","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-03T12:36:20.501Z"}},{"type":"Public","name":"grouplabelencode","owner":"kmedian","isFork":false,"description":"Encode grouped/mapped labels","allTopics":["pypi"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-01T11:38:18.693Z"}},{"type":"Public","name":"jupytertweak","owner":"kmedian","isFork":false,"description":"Tweaks for jupyter notebooks","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-10-27T16:59:26.302Z"}},{"type":"Public","name":"onehot","owner":"kmedian","isFork":false,"description":"One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.","allTopics":["sklearn","feature-engineering","sklearn-compatible","pypi","onehot"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":3,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-10-25T10:05:12.750Z"}},{"type":"Public","name":"ctmc","owner":"kmedian","isFork":false,"description":"Continuous Time Markov Chain","allTopics":["markov-chain","transition-matrix","stochastic-matrix","transition-probability","continuous-time-markov-chain","pypi","ctmc"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":4,"starsCount":15,"forksCount":5,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-09-27T11:26:24.633Z"}},{"type":"Public","name":"panelctmc","owner":"kmedian","isFork":false,"description":"Continuous Time Markov Chain for daily panel data and annual transition probabilities","allTopics":["transition-matrix","stochastic-matrix","transition-probability","rating-migration","pypi","markov-chain","annual-transition-probabilities"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":7,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-09-26T11:22:34.815Z"}},{"type":"Public","name":"majorityvoteproba","owner":"kmedian","isFork":false,"description":"merge probability predictions for majority votes","allTopics":["ensemble-learning","pypi"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":5,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-09-16T20:26:29.050Z"}},{"type":"Public","name":"jackknife","owner":"kmedian","isFork":false,"description":"Jackknife resampling, parameter estimation and stability test.","allTopics":["statistics","cross-validation","pypi","estimation","jackknife","jackknife-resampling","stability-test"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":8,"starsCount":3,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-09-16T07:42:30.472Z"}},{"type":"Public","name":"pctl_scale","owner":"kmedian","isFork":false,"description":"Scale a variable into an open interval (0,1) whereas values within a given lower and upper percentile maintain a linear relation, and outlier saturate towards the interval limits.","allTopics":["sklearn","feature-engineering","sklearn-compatible","pypi"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-08-22T10:49:31.912Z"}},{"type":"Public","name":"potpourri","owner":"kmedian","isFork":false,"description":"model zoo of different preconfigured algorithms","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-05-31T02:59:41.132Z"}},{"type":"Public","name":"colabtweak","owner":"kmedian","isFork":false,"description":"Tweaks for Google Colab.","allTopics":["colaboratory","pypi","tweaks","colab","google-colab"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":2,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-11-10T23:25:15.581Z"}},{"type":"Public","name":"ctmc2","owner":"kmedian","isFork":false,"description":"Continous Time Markov Chain (with automatic error correction)","allTopics":["pypi","markov-chain"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":4,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-10-05T20:43:01.901Z"}},{"type":"Public archive","name":"overgang","owner":"kmedian","isFork":false,"description":"Transition probability estimation","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":3,"starsCount":1,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-09-25T18:35:39.343Z"}}],"repositoryCount":22,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"kmedian repositories"}