ravenrip
Focus my efforts on AI and ML services. Always learning and helping all to utilize technology so we can think of other useful ideas that no one else has.
LG2 Solutions LLCUnited States
Pinned Repositories
adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
azure-cosmos-db-graph-python-getting-started
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.
azure-docs
Open source documentation of Microsoft Azure
chatgpt-api-whisper-api-voice-assistant
chatgpt api and whisper api tutorial - voice conversation with therapist
Create_a_GPT
Creating a GPT from the training provided by Andrej Karpathy and motivated by Looking Glass Universe
grafana-datasource-plugin-neo4j
Grafana Datasource Plugin for querying data from Neo4j with cypher
h2o-3
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.
h2ogpt
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
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
ravenrip's Repositories
ravenrip/adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
ravenrip/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
ravenrip/azure-cosmos-db-graph-python-getting-started
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.
ravenrip/azure-docs
Open source documentation of Microsoft Azure
ravenrip/chatgpt-api-whisper-api-voice-assistant
chatgpt api and whisper api tutorial - voice conversation with therapist
ravenrip/Create_a_GPT
Creating a GPT from the training provided by Andrej Karpathy and motivated by Looking Glass Universe
ravenrip/grafana-datasource-plugin-neo4j
Grafana Datasource Plugin for querying data from Neo4j with cypher
ravenrip/h2o-3
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.
ravenrip/h2ogpt
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
ravenrip/JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
ravenrip/LangChain_projects
projects utilizing LangChain
ravenrip/langgraph
ravenrip/llamacpp-docker-server
Latest llama.cpp in a containerized server + langchain support with CUDA enabled
ravenrip/llm-ollama-llamaindex-invoice-cpu
Data extraction with LLM on CPU
ravenrip/neonechoFlask
A Python web application calling Microsoft graph that is secured using the Microsoft identity platform
ravenrip/promptspree
Generated by AI, curated by humans
ravenrip/RAG_on_FHIR
Work on using Retrieval-Augmented Generation (RAG) to combine Fast Healthcare Interoperable Resources (FHIR) with Generative AI.
ravenrip/Speech-To-Text-Google
Running the Speech to Text Google samples
ravenrip/suzieq
Using network observability to operate and design healthier networks
ravenrip/sveltekit-pocketbase-auth
This project implements authentication with Sveltekit and Pocketbase with email and Google OAth.
ravenrip/tig-stack
The Telegraf, InfluxDB, & Grafana stack (TIG) powered by Docker & Docker Compose.
ravenrip/TSForecasting
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.