List of entity resolution software and resources.

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

machine learning and deep learning tutorials, articles and other resources

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Companion webpage to the book "Mathematics For Machine Learning"

📺 Discover the latest machine learning / AI courses on YouTube.

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

A Large-Scale Company Relation Graph for Investment Industry

TorchKGE: Knowledge Graph embedding in Python and PyTorch.

STAPLE (Shared Tools for Automatic Personalised Lower Extremity modelling) consists of a collection of methods for generating skeletal models from three-dimensional bone geometries, usually segment…

How OpenAlex parses institutional affiliations assigned to works

Code behind blog post deploying Graph Neural Networks (GNNs) for Monitoring Supply Chain Risk

Efficient string matching with regular expressions

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based m…

Company Name Processor written in Python

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Generic U-Net Tensorflow implementation for image segmentation

[IEEE TMI] Official Implementation for UNet++

Matlab 3D Digital Image Correlation Toolbox

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Simple library to make working with STL files (and 3D objects in general) fast and easy.

Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach