{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"gretel-hybrid","owner":"gretelai","isFork":false,"description":"Resources to help with setting up and running Gretel Hybrid","allTopics":[],"primaryLanguage":{"name":"HCL","color":"#844FBA"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-10T20:39:17.032Z"}},{"type":"Public","name":"navigator-helpers","owner":"gretelai","isFork":false,"description":"Navigator Helpers","allTopics":["ai","agent-based","synthetic-data","llm","llm-evaluation"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-09T18:48:48.122Z"}},{"type":"Public","name":"gretel-python-client","owner":"gretelai","isFork":false,"description":"The Gretel Python Client allows you to interact with the Gretel REST API.","allTopics":["machine-learning","privacy","stream-processing","datascience","privacy-enhancing-technologies","synthetic-data"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":48,"forksCount":18,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-08T17:33:03.505Z"}},{"type":"Public","name":"gretel-blueprints","owner":"gretelai","isFork":false,"description":"Public blueprints for data use cases","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":6,"issueCount":0,"starsCount":67,"forksCount":30,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-01T17:00:51.001Z"}},{"type":"Public","name":"gretel-synthetics","owner":"gretelai","isFork":false,"description":"Synthetic data generators for structured and unstructured text, featuring differentially private learning.","allTopics":["privacy","artificial-intelligence","differential-privacy","synthetic-data","tensorflow"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":559,"forksCount":87,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-26T16:45:31.657Z"}},{"type":"Public","name":"gretel-mlops","owner":"gretelai","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":7,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-25T17:25:55.100Z"}},{"type":"Public","name":"trainer","owner":"gretelai","isFork":false,"description":"Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs.","allTopics":["deep-learning","gan","data-generation","gans","language-model","synthetic-data","machine-learning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":29,"forksCount":7,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-30T22:20:07.635Z"}},{"type":"Public","name":"gretel-tuner","owner":"gretelai","isFork":false,"description":"🎛️ Hyperparameter tuning with Optuna and the Gretel SDK","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-12T16:32:44.625Z"}},{"type":"Public","name":"public_research","owner":"gretelai","isFork":false,"description":"Where Gretel published notebooks and code for blog posts","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":2,"issueCount":0,"starsCount":18,"forksCount":8,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-08-26T03:41:02.306Z"}},{"type":"Public","name":"gnostic","owner":"gretelai","isFork":true,"description":"A compiler for APIs described by the OpenAPI Specification with plugins for code generation and other API support tasks.","allTopics":[],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":241,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-04-14T22:54:44.937Z"}},{"type":"Public","name":"gdpr-helpers","owner":"gretelai","isFork":false,"description":"Generative models to automatically anonymize data to meet GDPR & CCPA standards.","allTopics":["privacy","ai","gdpr","anonymization","synthetic-data","generative-models","ccpa"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":29,"forksCount":1,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-01-24T21:49:55.819Z"}},{"type":"Public","name":"gretel-tools","owner":"gretelai","isFork":false,"description":"General tools for machine learning, data engineering, and more!","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":14,"forksCount":2,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-02T19:07:37.818Z"}},{"type":"Public archive","name":"s3-object-lambda-gretel-transforms","owner":"gretelai","isFork":false,"description":"Use Gretel Transforms for S3 Object Lambda operations.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-16T12:43:22.562Z"}},{"type":"Public","name":"multi-table","owner":"gretelai","isFork":false,"description":"Notebook and code to synthesize relational databases such as Postgres and Mysql.","allTopics":["postgres","anonymization","synthetic-data","pii-detection"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":0,"starsCount":8,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-10-24T19:10:23.375Z"}},{"type":"Public","name":"code-of-conduct","owner":"gretelai","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-09-01T15:53:08.025Z"}},{"type":"Public","name":"learning-paths","owner":"gretelai","isFork":false,"description":"Gretel's Learning Paths and Tooling","allTopics":[],"primaryLanguage":{"name":"CSS","color":"#563d7c"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-08-24T21:01:39.571Z"}},{"type":"Public","name":"awesome-synthetic-data","owner":"gretelai","isFork":false,"description":"📖 A curated list of resources dedicated to synthetic data","allTopics":["machine-learning","awesome","deep-learning","time-series","artificial-intelligence","gan","data-generation","awesome-list","synthetic-data"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":104,"forksCount":9,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-07-29T14:06:18.549Z"}},{"type":"Public","name":"fun-with-synthetic-data","owner":"gretelai","isFork":false,"description":"A collection of notebooks full of whimsy and fun to show all of the cool things you can do with Gretel Synthetics","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-07-18T15:49:58.997Z"}},{"type":"Public","name":"rules_python","owner":"gretelai","isFork":true,"description":"Experimental Bazel Python Rules","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":519,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-17T23:18:36.174Z"}},{"type":"Public","name":"doppelganger-torch","owner":"gretelai","isFork":false,"description":"PyTorch implementation of DoppelGANger. This library has been moved to the gretel-synthetics package. Find the latest version here: https://github.com/gretelai/gretel-synthetics/tree/master/src/gretel_synthetics/timeseries_dgan","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-23T21:01:21.710Z"}},{"type":"Public","name":"fastcut-gan","owner":"gretelai","isFork":false,"description":"Minimal implementation of FastCUT GAN algorithm from @taesengp","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-17T19:35:49.032Z"}},{"type":"Public","name":"GAN-location-generator","owner":"gretelai","isFork":true,"description":"Use FastCUT with public map images and location data from a few cities to generate realistic synthetic location data for any city in the world. Based on https://taesung.me/ContrastiveUnpairedTranslation/","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":22,"forksCount":413,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-02-08T23:25:13.183Z"}},{"type":"Public","name":"gretel-airflow-pipelines","owner":"gretelai","isFork":false,"description":"Runbooks for running Gretel on Apache Airflow","allTopics":["airflow"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-02-01T08:43:04.903Z"}},{"type":"Public","name":"synthetic-data-genomics","owner":"gretelai","isFork":false,"description":"Proof of concept code from Gretel.ai and Illumina using generative neural networks to create synthetic versions of mouse genotype and phenotype data.","allTopics":["genomics","generative-model","privacy-enhancing-technologies","synthetic-data"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":34,"forksCount":5,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-01-19T21:20:17.347Z"}},{"type":"Public","name":"safe-location-density","owner":"gretelai","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-11-10T22:26:19.781Z"}},{"type":"Public","name":"FluentBitLogging","owner":"gretelai","isFork":false,"description":"Logging AWS EKS infrastructure with Fluent Bit.","allTopics":[],"primaryLanguage":{"name":"HCL","color":"#844FBA"},"pullRequestCount":0,"issueCount":0,"starsCount":10,"forksCount":5,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-08-30T16:20:35.911Z"}},{"type":"Public","name":"rediscover-2020-joinability","owner":"gretelai","isFork":false,"description":"Sample code for Redis Conf talk on Joinability at scale using HyperLogLog","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-05-11T14:01:03.604Z"}},{"type":"Public","name":"contact-tracing-experiment","owner":"gretelai","isFork":false,"description":"Pythonic implementation of Apple + Google's contact tracing proposal","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":8,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-04-29T15:50:21.745Z"}}],"repositoryCount":28,"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":"gretelai repositories"}