Probabilistic programming with programmable inference for parallel accelerators.

A domain-specific probabilistic programming language for modeling and inference with language models

LLM-native compiler toolchain - implementing 'LLM ≈ probabilistic compiler' with real OpenAI integration, structured outputs, and constrained decoding

[MathCoder, MathCoder-VL] Family of LLMs/LMMs for mathematical reasoning.

a Deep Learning Framework for Text https://delft.readthedocs.io/

Science-parse version 2

Science Parse parses scientific papers (in PDF form) and returns them in structured form.

Python client for GROBID Web services

Generative Agents: Interactive Simulacra of Human Behavior

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

The Open Source Feature Store for AI/ML

Everything about the SmolLM and SmolVLM family of models

practice how to build knowledge graph from given text corpus

GLM-4.5: An open-source large language model designed for intelligent agents by Z.ai

A Survey of Reinforcement Learning for Large Reasoning Models

The Plumber framework for KG completion and structured triples extraction

Coreference Resolution in Python

RDF Triple API that returns the RDF triple of any sentence

spaCy pipeline component for generating spaCy KnowledgeBase Alias Candidates for Entity Linking

This project implements Bayesian model for financial time series analysis using the Skellam-Poisson distribution. The model decomposes observed differences into latent Poisson counts, enabling the …

Knowledge Graph Generation from Any Text

World First Category Theory Deep Learning Framework

Data and Model implementation for paper: FinDKG: Dynamic Knowledge Graph with Large Language Models for Global Finance

End-to-End Ontology Learning with Large Language Models, NeurIPS 2024.