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Lightweight wrapper for generating and editing images from Gemini 2.5 Flash Image/Nano Banana
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
Endurain is a self-hosted fitness tracking service designed to give users full control over their data and hosting environment
An opinionated list of awesome Python frameworks, libraries, software and resources.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference i…
State-of-the-Art Text Embeddings
Robust Speech Recognition via Large-Scale Weak Supervision
Explaining the output of machine learning models with more accurately estimated Shapley values
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
A Python package to assess and improve fairness of machine learning models.
Algorithms for outlier, adversarial and drift detection
The Economist's model to estimate excess deaths to the covid-19 pandemic
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Natural Language Processing Best Practices & Examples
A flexible, intuitive and fast forecasting library
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
A python library for user-friendly forecasting and anomaly detection on time series.