Emmanuel Bonnet's repositories
PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development and model validation
ShareGPT
To allow the sharing of API keys to create a free OpenAI API.
fairgbm
Train Gradient Boosting models that are both high-performance *and* Fair!
PredictiveMaintenance-and-Vibration-Resources
Papers and datasets for Vibration Analysis
chaos_genius
ML powered analytics engine for outlier detection and root cause analysis.
nlopt
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
fullgrad-saliency
Full-gradient saliency maps
llama
Inference code for genesis models
airbyte
Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.
memprompt
A method to fix GPT-3 after deployment with user feedback, without re-training.
workshops
workshops
prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Squeezeformer
[NeurIPS'22] Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
leab
📈🔍 Lets Python do AB testing analysis
graphs-network-science
Accompanying repository for my book about Graph Data Science
refurb
A tool for refurbishing and modernizing Python codebases
awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Revit-IFC-Creating-images
Analysis and processing hundreds and thousands of Revit and IFC projects
facet
Human-explainable AI.
XGBoostLSS
An extension of XGBoost to probabilistic forecasting
python3.11_speedtest
Simple speed tests for Python 3.11
latexify_py
A library to generate LaTeX expression from Python code.
awesome-causality-algorithms
An index of algorithms for learning causality with data
PerfKitBenchmarker
PerfKit Benchmarker (PKB) contains a set of benchmarks to measure and compare cloud offerings. The benchmarks use default settings to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.