Greg Jones's Projects
A Python toolkit for rule-based/unsupervised anomaly detection in time series
An experimental open-source attempt to make GPT-4 fully autonomous.
Azure Cosmos DB's Graph API provides the graph data model and Gremlin. This tutorial shows how to get started with the Graph (Gremlin) API and the Gremlin driver for Python.
Open source documentation of Microsoft Azure
chatgpt api and whisper api tutorial - voice conversation with therapist
Creating a GPT from the training provided by Andrej Karpathy and motivated by Looking Glass Universe
Grafana Datasource Plugin for querying data from Neo4j with cypher
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Come join the movement to make the world's best open source GPT led by H2O.ai - 100% private chat and document search, no data leaks, Apache 2.0
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
projects utilizing LangChain
Latest llama.cpp in a containerized server + langchain support with CUDA enabled
Data extraction with LLM on CPU
A Python web application calling Microsoft graph that is secured using the Microsoft identity platform
Generated by AI, curated by humans
Work on using Retrieval-Augmented Generation (RAG) to combine Fast Healthcare Interoperable Resources (FHIR) with Generative AI.
Running the Speech to Text Google samples
Using network observability to operate and design healthier networks
This project implements authentication with Sveltekit and Pocketbase with email and Google OAth.
The Telegraf, InfluxDB, & Grafana stack (TIG) powered by Docker & Docker Compose.
This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.