Christopher-Thornton
Follow
Starred repositories
Tutorials for Entity Resolved Knowledge Graphs
[Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
Search google, bing, yahoo, and other search engines with python
Python package for causal discovery based on LiNGAM.
Multilingual Voice Understanding Model
A python package to analyze and compare voices with deep learning
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
LibKGE - A knowledge graph embedding library for reproducible research
This is the code that went into our practical dive using mamba as information extraction
[Experimental] Global causal discovery algorithms
A PyTorch implementation of GraphRel
ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.
Understand and test language model architectures on synthetic tasks.
Creative interactive views of any dataset.
SayIt - a component for recording and storing public statements.
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
LLM-driven automated knowledge graph construction from text using DSPy and Neo4j.
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
An Open Source text-to-speech system built by inverting Whisper.
proof of concept prototype for generating and querying against an ever-expanding knowledge graph with ai
Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
a keystroke dynamics algorithm in python (recognizes a person by the way s/he types)
Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database