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🦜🔗 Build context-aware reasoning applications
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
A guidance language for controlling large language models.
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
This repository contains demos I made with the Transformers library by HuggingFace.
Learn ML engineering for free in 4 months!
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
An annotated implementation of the Transformer paper.
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.
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Solve puzzles. Improve your pytorch.
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
NMA Computational Neuroscience course
Efficient few-shot learning with Sentence Transformers
MTEB: Massive Text Embedding Benchmark
New ways of breaking app-integrated LLMs
Python class that generates pixel art from images
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Project page for "The Fuzzing Book"
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
What would you do with 1000 H100s...
The book every data scientist needs on their desk.
Graph Machine Learning course, Xavier Bresson, 2023
The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations