This is a repo with links to everything you'd ever want to learn about data engineering

Patent analysis using the Google Patents Public Datasets on BigQuery

PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT

Parse files for optimal RAG

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

A curated list of ontology things

Experimental library integrating LLM capabilities to support causal analyses

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

Bandit is a tool designed to find common security issues in Python code.

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

The software used to extract structured data from Wikipedia

Curated list of GitHub Issues and Pull Requests templates

A list of recent papers about Graph Neural Network methods applied in NLP areas.

An extremely fast Python linter and code formatter, written in Rust.

B21621 - Polars Cookbook

Recipes for using Python's polars library

Awesome papers about unifying LLMs and KGs

Fuzzy String Matching in Python

Fuzzy String Matching in Python

A high-throughput and memory-efficient inference and serving engine for LLMs

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Large Language Model Text Generation Inference

Clustering sentence embeddings to extract message intent

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Papers & presentation materials from Hugging Face's internal science day