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Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Curated list of useful LLM / Analytics / Datascience resources
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
A library for making RepE control vectors
Code for In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
LLM Proxy to call 100+ LLM APIs using the OpenAI format - Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq
DSPy: The framework for programming—not prompting—foundation models
Retrieval and Retrieval-augmented LLMs
A playbook for systematically maximizing the performance of deep learning models.
Open source codebase powering the HuggingChat app
LibKGE - A knowledge graph embedding library for reproducible research
Methods and Implements of Deep Clustering
A Jupyter kernel to launch queries against SPARQL endpoints
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
Experience OpenAI's GPT Model on your wrist with WearGPT.
A low-power E-Paper weather display powered by an ESP32 microcontroller. Utilizes the OpenWeatherMap API.
Dynamic Word Embeddings for Evolving Semantic Discovery code.
An R package containing functions for clustering multivariate data using mixtures of factor analyzers.
A simple typewriter written in go for KOBO e-readers
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
LlamaIndex is a data framework for your LLM applications
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.