基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

Context Axial Reverse Attention Network for Small Medical Objects Segmentation

Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.

Code for Iterative Reasoning Paper (CVPR 2018)

self-improving user memory framework for conversational AI apps

2018 云从人头技术冠军分享方案

The ChatGPT Long Term Memory package is a powerful tool designed to empower your projects with the ability to handle a large number of simultaneous users and external sources.

Easily create Plugins for Sanic!

The long-term memory for your Superagents 🥷and LLMs 🤖. Built with GraphRAG, Knowledge graphs and autonomous ai agents

This is our implementation of ENSFM: Efficient Non-Sampling Factorization Machines (WWW 2020)

🌲 Great Python logging made easy.

The goal is to parse,process and ingest codebase/s to form a pluggable knowledge Graph and become the unified code context provider

Rewrite the LOUPE library (https://github.com/antoine77340/LOUPE) into Keras version. Many learnable pooling or differentiable aggregation methods are covered. (NetVLAD, NetRVLAD, SoftDBoW, NetFV, CG)

Analysis Of The Context Size Impact In Deep Learning Conversational Systems

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

clone GitHub repositories and prepare their data for ingestion for LLMs.

An OpenAI GPT-3 AI chatbot frontend with speech-to-text and text-to-speech written in Python

Python's contextvars made easy.

Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation

A logging boilerplate enhanced by the use of contextvars