Stars
Official implementation of GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
A huggingface pipeline to train a gpt model based on the transcript obtained byt the Open AI whisper model
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
A modular graph-based Retrieval-Augmented Generation (RAG) system
Silero Stress — pre-trained enterprise-grade automated stress and homograph disambiguation for the Russian language
A test fixtures replacement for Python
This is a pytest plugin, that enables you to test your code that relies on a running PostgreSQL Database. It allows you to specify fixtures for PostgreSQL process and client.
Testcontainers is a Python library that providing a friendly API to run Docker container. It is designed to create runtime environment to use during your automatic tests.
🧪🤖 Pytest plugin for OpenAI requests
Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems
Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13
(Linear-chain) Conditional random field in PyTorch.
Collection of awesome Python types, stubs, plugins, and tools to work with them.
SECOM: On Memory Construction and Retrieval for Personalized Conversational Agents, ICLR 2025
A minimalist MVP demonstrating a simple yet profound insight: aligning AI memory with human episodic memory granularity. Shows how this single principle enables simple methods to rival complex memo…
MemOS (Preview) | Intelligence Begins with Memory
Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.
[NAACL 2025] The implementation of paper "Hello Again! LLM-powered Personalized Agent for Long-term Dialogue".
Build Real-Time Knowledge Graphs for AI Agents
The /llms.txt file, helping language models use your website
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
A Python concurrency scheduling library, compatible with asyncio and trio.
Seamlessly integrate LLMs as Python functions
This repo contains the code for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks" [ICLR 2025]