{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"nnetsauce","owner":"Techtonique","isFork":false,"description":"Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)","allTopics":["deep-learning","statistical-learning","neural-networks","machine-learning","quasi-randomized"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":11,"forksCount":4,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-07T23:10:14.509Z"}},{"type":"Public","name":"datasets","owner":"Techtonique","isFork":false,"description":"Toy datasets","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-06T23:33:58.491Z"}},{"type":"Public","name":"GPopt","owner":"Techtonique","isFork":false,"description":"Bayesian optimization using Gaussian Process regression (Python)","allTopics":["machine-learning","optimization","hyperparameters","bayesian-optimization","hyperparameter-tuning","optimization-algorithms","bayesian-statistics"],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-06T23:19:00.560Z"}},{"type":"Public","name":"Techtonique.github.io","owner":"Techtonique","isFork":false,"description":"Techtonique's presentation","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-01T17:16:57.250Z"}},{"type":"Public","name":"nnetsauce_r","owner":"Techtonique","isFork":false,"description":"Randomized and quasi-randomized nnetworks for supervised learning and multivariate time series forecasting","allTopics":["machine-learning","deep-learning","statistical-learning","neural-networks","randomized-algorithms"],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":1,"starsCount":1,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-02T10:15:24.810Z"}},{"type":"Public","name":"querier","owner":"Techtonique","isFork":false,"description":"A query language for Python Data Frames (currently Python)","allTopics":["sql","databases","sql-query","data-frames"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":2,"issueCount":0,"starsCount":2,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-30T22:06:00.741Z"}},{"type":"Public","name":"esgtoolkit","owner":"Techtonique","isFork":false,"description":"Tools for Stochastic Simulation using diffusion models (R). ","allTopics":["monte-carlo-simulation","stochastic-differential-equations","stochastic-processes","scenario-creator","monte-carlo-methods","montecarlo-simulation","stochastic-simulation","diffusion-model","scenario-analysis","diffusion-models","scenario-generation","simulation"],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":9,"forksCount":3,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-26T21:10:35.659Z"}},{"type":"Public","name":"learningmachine","owner":"Techtonique","isFork":false,"description":"Machine Learning with uncertainty quantification and interpretability","allTopics":["machine-learning","machine-learning-algorithms","statistical-learning","machinelearning","uncertainty-quantification","conformal-prediction"],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-26T14:36:15.954Z"}},{"type":"Public","name":"crossvalidation","owner":"Techtonique","isFork":false,"description":"Generic cross-validation functions","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T06:04:15.364Z"}},{"type":"Public","name":"mlsauce_r","owner":"Techtonique","isFork":false,"description":"Miscellaneous statistical/machine learning stuff","allTopics":["machine-learning","machine-learning-algorithms","statistical-learning","machinelearning"],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:55:00.080Z"}},{"type":"Public","name":"ahead","owner":"Techtonique","isFork":false,"description":"Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)","allTopics":["machine-learning","time-series","statistical-learning","forecasting","predictive-modeling","uncertainty-quantification","time-series-forecasting"],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":20,"forksCount":5,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:53:01.375Z"}},{"type":"Public","name":"bcn","owner":"Techtonique","isFork":false,"description":"Boosted Configuration (Neural) Networks","allTopics":["statistical-learning","neural-networks","machine-learning"],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:50:16.116Z"}},{"type":"Public","name":"rtopy","owner":"Techtonique","isFork":false,"description":"Call R functions from Python (using command line utilities)","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:44:42.471Z"}},{"type":"Public","name":"esgtoolkit_python","owner":"Techtonique","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:36:32.910Z"}},{"type":"Public","name":"learningmachine_python","owner":"Techtonique","isFork":false,"description":"Machine Learning with uncertainty quantification and interpretability.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:33:47.046Z"}},{"type":"Public","name":"teller","owner":"Techtonique","isFork":false,"description":"Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data","allTopics":["explainable-ai","xai","xai-library"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":7,"forksCount":1,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:28:45.024Z"}},{"type":"Public","name":"bcn_python","owner":"Techtonique","isFork":false,"description":"Boosted Configuration (neural) Networks","allTopics":["machine-learning","statistical-learning","neural-networks"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:26:48.624Z"}},{"type":"Public","name":"ahead_python","owner":"Techtonique","isFork":false,"description":"Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)","allTopics":["time-series","forecasting","uncertainty-quantification"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":12,"forksCount":3,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:24:56.722Z"}},{"type":"Public","name":"mlsauce","owner":"Techtonique","isFork":false,"description":"Miscellaneous Statistical/Machine Learning stuff (currently Python & R)","allTopics":["data-science","statistical-learning","machine-learning"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":2,"issueCount":0,"starsCount":5,"forksCount":1,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T05:22:57.548Z"}},{"type":"Public","name":".github","owner":"Techtonique","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-26T05:32:59.982Z"}},{"type":"Public","name":"techtonique.r-universe.dev","owner":"Techtonique","isFork":false,"description":"R-universe","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-11T22:22:24.307Z"}},{"type":"Public","name":"staged-recipes","owner":"Techtonique","isFork":true,"description":"A place to submit conda recipes before they become fully fledged conda-forge feedstocks","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":4729,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-27T16:28:06.612Z"}},{"type":"Public","name":"Ahead.jl","owner":"Techtonique","isFork":false,"description":"Univariate and multivariate time series with uncertainty quantification","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-10T11:41:08.278Z"}},{"type":"Public","name":"LearningMachine.jl","owner":"Techtonique","isFork":false,"description":"Machine Learning with uncertainty quantification and explanations","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-19T20:10:40.263Z"}},{"type":"Public","name":"Nnetsauce.jl","owner":"Techtonique","isFork":false,"description":"Julia version of nnetsauce","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-06T13:09:00.851Z"}},{"type":"Public","name":"forecastingAPI_r","owner":"Techtonique","isFork":false,"description":"forecasting API in R","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-23T11:54:40.881Z"}},{"type":"Public archive","name":"ycinterextra","owner":"Techtonique","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause Clear License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-17T03:53:54.704Z"}}],"repositoryCount":27,"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":"Techtonique repositories"}