Kosi Asuzu's Projects
The open-source language model computer
This is the repository for the EF 2023 Bio x AI Hackathon
Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.
A Comprehensive Benchmark to Evaluate LLMs as Agents
Python SDK for agent evals and observability
AIOS: LLM Agent Operating System
My git hub profile page
This is a python package that generates audiobooks from easily available PDF versions. It uses the Microsoft T5 Speech Transformer model from Huggingface to generate audiobooks from PDFs
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning
A curated list of analytics frameworks, software and other tools.
A curated list of foundation models for vision and language tasks
A collection of AWESOME things about Graph-Related LLMs.
A curated list of awesome high performance computing resources
Awesome-LLM: a curated list of Large Language Model
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
A list of awesome Robotics resources
Implementation of the Django backend for the chowbuddy application
This is the code for the mobile application for the chow buddy project
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Building my own custom programming language in both python, c++ and rust. The language is an interpreted language and we would be building different interpreter implementations for the language
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Experiment tracking server focused on speed and scalability
This is the implementation of a performance tracker for the FastTrackML project. It is intended to monitor the performance changes of the FastTrackML project compared to other parameter servers over time
Implementation of generative AI applications and tools that can be used to set up generative ai applications quickly
Implementation of Projects using graph neural networks and knowledge graphs
The Unified AI Framework
Robot planning for Ned Niryo robot using LLMs