Pinned Repositories
AgentVerse
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
atomspace
The OpenCog (hyper-)graph database and graph rewriting system
autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
automate
babyagi
bap
Binary Analysis Platform
BLoRA
batched loras
camel
🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org
Category_Theory_Machine_Learning
List of papers studying machine learning through the lens of category theory
ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
teoArganaraz's Repositories
teoArganaraz/AgentVerse
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
teoArganaraz/autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
teoArganaraz/automate
teoArganaraz/bap
Binary Analysis Platform
teoArganaraz/camel
🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org
teoArganaraz/Category_Theory_Machine_Learning
List of papers studying machine learning through the lens of category theory
teoArganaraz/ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
teoArganaraz/clin
teoArganaraz/crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
teoArganaraz/deep-learning
teoArganaraz/guidance
A guidance language for controlling large language models.
teoArganaraz/instructor
openai function calls for humans
teoArganaraz/learn
Neuro-symbolic interpretation learning (mostly just language-learning, for now)
teoArganaraz/linkedin-api
👨💼Linkedin API for Python
teoArganaraz/litellm
Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
teoArganaraz/llama.cpp
Port of Facebook's LLaMA model in C/C++
teoArganaraz/lumos
Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"
teoArganaraz/MetaGPT
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
teoArganaraz/mmda
multimodal document analysis
teoArganaraz/movies-python-bolt
Neo4j Movies Example application with Flask backend using the neo4j-python-driver
teoArganaraz/multi-lora-fine-tune
Provide efficient LLM LoRA fine tune
teoArganaraz/openai-cookbook
Examples and guides for using the OpenAI API
teoArganaraz/opengpts
teoArganaraz/PowerInfer
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
teoArganaraz/recoma
Reasoning by Communicating with Agents
teoArganaraz/RL4LMs
A modular RL library to fine-tune language models to human preferences
teoArganaraz/S-LoRA
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
teoArganaraz/self-refine
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
teoArganaraz/text-generation-webui
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
teoArganaraz/unsloth
5X faster 50% less memory LLM finetuning