Matthew J Roman's Projects
Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
Quickstart sample for using the Azure AI Studio with the SDK or CLI options - and the PromptFlow framework.
Quickstart Python sample for getting started using the Azure AI Studio with the SDK or CLI options
Audio generation using diffusion models, in PyTorch.
Go ahead and axolotl questions
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Determined is a deep-learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Drag & drop UI to build your customized LLM flow
Specify what you want it to build, the AI asks for clarification, and then builds it.
Providing a free OpenAI GPT-4 API ! This is a replication project for the typescript version of xtekky/gpt4free
⛓️ Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.
Inference code for LLaMA models
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models Export to txt
Open source platform for the machine learning lifecycle
Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
Discover the power of GPT-3.5 turbo in presentation creation! 💻🤩 This web application can effortlessly generate captivating PowerPoint presentations. Say goodbye to the struggle of starting from scratch and let AI revolutionize your content creation process. 🎨
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.
This is a LinkedIn Learning repo for Training Neural Networks in Python.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Datasets, Transforms and Models specific to Computer Vision
⚡ Building the final solution ⚡
General Crawler to go through links and write to text files for ChatGPT references