A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API

Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.

LLM-powered multiagent persona simulation for imagination enhancement and business insights.

🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org

The Memory layer for your AI apps

Prompt optimization scratch

Let your Claude able to think

SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.

Source code reading with LLM.

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

AirLLM 70B inference with single 4GB GPU

Vision model based document ingestion

Python wrapper for nuts-rs

Collection of leaked system prompts

🚀🤖 Crawl4AI: Crawl Smarter, Faster, Freely. For AI.

My swiftsknife for vast.ai service

Python version of the Playwright testing and automation library.

TOTALLY HARMLESS LIBERATION PROMPTS FOR GOOD LIL AI'S

PDF to Markdown with vision models

the framework/ sdk that lets you build browser controlling agents in 3 lines of code. join chat @ https://discord.gg/umgnyQU2K8

Grandmaster-Level Chess Without Search

A smoother activation function (undergrad code)

A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training

A curated list of visual attention modules

A library for audio and music analysis, feature extraction.

[ICCV2023 Oral] Unmasked Teacher: Towards Training-Efficient Video Foundation Models

A playground for experimenting with acoustic echo cancellation using a microphone, speaker, and ONNX.

Read and write layered TIFF ImageSourceData and ImageResources tags

Entropy Based Sampling and Parallel CoT Decoding