lambda-science Goto Github PK

ai-dev-playground

The training source code for the MyoQuant SDH Model

anonymizer

Small script developped to automatically remove patient personnal informations from text reports and images

arxiv-frontpage

My personal frontpage app

automl-pipe

An automated, rigorous, and largely scikit-learn based machine learning analysis pipeline for binary classification. Adopts current best practices to avoid bias, optimize performance, ensure replicatability, capture complex associations (e.g. interactions and heterogeneity), and enhance interpretability. Includes (1) exploratory analysis, (2) data cleaning, (3) partitioning, (4) scaling, (5) imputation, (6) filter-based feature selection, (7) collective feature selection, (8) modeling with 'optuna' hyperparameter optimization across 13 implemented ML algorithms (including three rule-based machine learning algorithms: ExSTraCS, XCS, and eLCS), (9) testing evaluations with 16 classification metrics, model feature importance estimation, (10) automatically saves all results, models, and publication-ready plots (including proposed composite feature importance plots), (11) non-parametric statistical comparisons across ML algorithms and analyzed datasets, and (12) automatically generated PDF summary reports.

code-boilerplate

comparative_genomics

corentin-config

My Config Files for Zsh, WSL2 and various things

dnd-qa

droso-analysis

https://github.com/Harajuku7/stage-thompson but with drosophilia

genetics

A web application about DNA sequence analysis written in Python with Flask framework.

genetics-gui

A GUI application project for DNA translation using Tkinter

hara-twitterbot

My own python twitter bot for testing purpose. Answers to !image [keyword] with a random google image picture

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

haystack-core-integrations

Additional packages (components, document stores and the likes) to extend the capabilities of Haystack version 2.0 and onwards

histoquant

impatient

IMPatienT🗂️: an integrated web application to digitize, process and explore multimodal patient data. Demo version deployed at: https://impatient.lbgi.fr/

jumbo-tech-test

AI Agent (deep reinforcement learning) that learns to hide itself in a 12x12 matrix.

lambda-science

lambda-science.github.io

My small blog with Mkdocs

machine-learning-introduction

My machine-learning introduction lecture at ESBS

machine-learning-td-esbs

Machine Learning repository for my TD on 04/10 @ ESBS

ml-td-esbs-2

2nd machine-learning practical at the Biotechnology School of Strasbourg (ESBS)

moliere-analysis

myoquant

MyoQuant🔬: a tool to automatically quantify pathological features in muscle fiber histology images. Demo version deployed at: https://lbgi.fr/MyoQuant

myoquant-streamlit

MyoQuant-Streamlit is a demo web application to showcase usage of MyoQuant. Demo version deployed at: https://lbgi.fr/MyoQuant

nlmyo

NLMyo🔧: a toolbox built to leverage the power of Large Language Models (LLMs) to exploit histology text reports. Demo version at: https://lbgi.fr/NLMyo

pcr-primer-finder

A command-line algorithm under developpement that create optimised PCR-primer for a specific region in a fasta file

predex

Histology report exploration

scikit_ml_pipeline_binary_notebook

An (updated and expanded) rigorous, well documented machine learning analysis pipeline for binary classification datasets assembled as a Jupyter Notebook. Includes exploratory analysis, data processing, feature processing, ML modeling (13 algorithms) with hyperparameter sweeps, visualizations, and statistical analysis. A comprehensive starting point to adapt to your own dataset.

spotify_scrapper