ArnaudAgilytic's Stars
AutoViML/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
david-cortes/isotree
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
Doriandarko/maestro
A framework for Claude Opus to intelligently orchestrate subagents.
Doriandarko/claude-engineer
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capabilities of a large language model with practical file system operations and web search functionality.
MaxHalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
feature-engine/feature_engine
Feature engineering package with sklearn like functionality
junhoyeo/BetterOCR
🔍 Better text detection by combining multiple OCR engines (EasyOCR, Tesseract, and Pororo) with 🧠 LLM.
analyticalmindsltd/smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
dssg/aequitas
Bias Auditing & Fair ML Toolkit
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
awslabs/fortuna
A Library for Uncertainty Quantification.
microsoft/UFO
A UI-Focused Agent for Windows OS Interaction.
modelscope/DiffSynth-Studio
Enjoy the magic of Diffusion models!
infiniflow/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
danielhomola/mifs
Parallelized Mutual Information based Feature Selection module.
lllyasviel/Omost
Your image is almost there!
TheAlgorithms/Python
All Algorithms implemented in Python
iskandr/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
jasonppy/VoiceCraft
Zero-Shot Speech Editing and Text-to-Speech in the Wild
LargeWorldModel/LWM
JoaquinAmatRodrigo/skforecast
Time series forecasting with machine learning models
Unstructured-IO/unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Unstructured-IO/unstructured-python-client
A Python client for the Unstructured hosted API
deepdoctection/deepdoctection
A Repo For Document AI
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
piegu/language-models
pre-trained Language Models
lllyasviel/Fooocus
Focus on prompting and generating
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
scikit-learn-contrib/MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.