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Zero-Knowledge Proof Systems Circuit Compiler
Ontological Interpretations for Web Property Graphs
Official inference framework for 1-bit LLMs
Codes and Data for ACL 2024 Paper "Faithful Logical Reasoning via Symbolic Chain-of-Thought".
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Code and data for EACL 2024 paper "Contextualization Distillation from Large Language Models for Knowledge Graph Completion"
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"
Stanford NLP Python library for Representation Finetuning (ReFT)
Caterpillar: A BPMN-based BPMS for Ethereum
Code repository for the paper - "AdANNS: A Framework for Adaptive Semantic Search"
Scalable and user friendly neural 🧠 forecasting algorithms.
ZK-ADAPT is focused on integrating qLORA with decentralized finetuning for efficient and private training of large language models (LLM). It combines qLORA's optimization with decentralized methods…
The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.
The personal knowledge management (PKM) tool that grows as you do!
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
This projects gives Kotlin bindings and several extensions for Apache Spark. We are looking to have this as a part of Apache Spark 3.x
A composable and fully extensible C++ execution engine library for data management systems.