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A guided tour on how to use HuggingFace large language models on Macs with Apple Silicon
Example scripts for the pushshift dump files
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A curated list of Polars talks, tools, examples & articles. Contributions welcome !
A natural language interface for computers
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Active Learning for Text Classification in Python
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Positive and unlabeled learning wrappers for scikit-learn
Positive-unlabeled learning with Python.
JuliaCon 2022 - Introduction to Julia Tutorial
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
R package fastLink: Fast Probabilistic Record Linkage
Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotlight)
A Python module for clustering creators of social media content into networks
Motivating applications and R code described in Adin et al. (2019, SMMR)
A repository of data on coronavirus cases and deaths in the U.S.
Generic curve fitting package with nonlinear mixed effects model
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
R package of data and code behind the stories and interactives at FiveThirtyEight
marinavannucci / snbvbs
Forked from yinsenm/snbvbsCode for "Scalable Bayesian Variable Selection Regression Models for Count Data", by Miao et al. (2019), in Flexible Bayesian Regression Modelling, Yanan F. et al (Eds), Elsevier, 187-219.
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Contains example code to run compositional data model