Jack's repositories
advertools
advertools - online marketing productivity and analysis tools
crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
agency-swarm
An opensource agent orchestration framework built on top of the latest OpenAI Assistants API.
chainlit-cookbook
Chainlit's cookbook repo
chat_with_images
Streamlit app to chat with images using Multi-modal LLMs.
CrewAI-Visualizer
Interactive user interface for CrewAI package.
deepeval
The LLM Evaluation Framework
dextools-python
A simple Python API wrapper for DEXTools
excalidraw
Virtual whiteboard for sketching hand-drawn like diagrams
fabric
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
feverent-lobe-chat
modern LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Perplexity / Bedrock / Azure / Mistral / Ollama ), Multi-Modals (Vision/TTS) and plugin system.
GeckoTerminal-nodejs
Gecko Terminal api writed in node js TypeScript
langchain-tg
🦜🔗 Build context-aware reasoning applications
langserve
LangServe 🦜️🏓
llm-answer-engine
Build a Perplexity-Inspired Answer Engine Using Next.js, Groq, Mixtral, Langchain, OpenAI, Brave & Serper
lobe-chat-agents
🤖 / 🏪 Agent Index - This is the agent index for LobeChat. It accesses index.json from this repository to display a list of available agents for LobeChat to the agent market.
moondream
tiny vision language model
Prompt-builder
Prompt Builder is a small Python application that implements the principles outlined in the paper "Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4". It allows users to generate natural language prompts adhering to specific rules and guidelines defined in the paper.
skyvern
Automate browser-based workflows with LLMs and Computer Vision
Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"