{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":".github","owner":"LAVS-TM","isFork":false,"description":"Organization profile configuration repository.","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-03-09T18:16:44.907Z"}},{"type":"Public","name":"Map-Generation","owner":"LAVS-TM","isFork":false,"description":"A medieval city generator with several constraints made with Python. Full generation and visualisation with different parameters.","allTopics":["python","city-generator"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":4,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-06T08:39:11.264Z"}},{"type":"Public","name":"MLOPS","owner":"LAVS-TM","isFork":false,"description":"Complete Machine Learning in production using fastAPI, MLflow, Streamlit and Docker.","allTopics":["docker","machine-learning","mlflow","streamlit"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-19T23:32:56.525Z"}},{"type":"Public","name":"PySpark","owner":"LAVS-TM","isFork":false,"description":"Analysis, a development of insights and a training of a prediction model for different stocks dataset such as APPLE, AMAZON or GOOGLE made in some notebooks with Spark in python.","allTopics":["data-science","pyspark","stock-price-prediction","stock-data"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-08-13T22:30:01.902Z"}},{"type":"Public","name":"JPEG","owner":"LAVS-TM","isFork":false,"description":"Implementation of the JPEG compression algorithm with python, managing RGB and YUV color space, different sub-sampling options and a custom Huffman encoding.","allTopics":["python","jpeg","image-compression","jpeg-encoder","jpeg-decoder"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-08-12T16:35:54.002Z"}},{"type":"Public","name":"RAND","owner":"LAVS-TM","isFork":false,"description":"A complete dataset analysis made with the language R. Conatins dataset description, some statistical analysis, visualisation, a PCA (Principal Component Analysis ) and finally a logistic regression.","allTopics":["r","data-analysis","data-visualization"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-07-22T23:05:51.095Z"}}],"repositoryCount":6,"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":"LAVS-TM repositories"}