Popular GitHub Repositories for Databricks Asset Bundles

AI模型接口管理与分发系统，支持将多种大模型转为OpenAI格式调用、支持Midjourney Proxy、Suno、Rerank，兼容易支付协议，可供个人或者企业内部管理与分发渠道使用，本项目基于One API二次开发。? The next-generation LLM gateway and AI asset management system supports multiple languages.

Simple and Distributed Machine Learning

LLM training code for Databricks foundation models

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ??

Code examples and resources for DBRX, a large language model developed by Databricks

Machine Learning in Asset Management (by @firmai)

Stable Diffusion and LLMs offline on your own hardware

Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers.

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

A lightweight MCP server for database search & querying.

Provide a basic framework to build an Utility IA in Unity using the xNode editor of Siccity

Belullama is a comprehensive AI application that bundles Ollama, Open WebUI, and Automatic1111 (Stable Diffusion WebUI) into a single, easy-to-use package.

Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases

Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

ML Ops Accelerator: Databricks & Azure Machine Learning Unification

To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement learning algorithm. We implement a sentiment analysis model using a recurrent convolutional neural network to predict the stock trend from the financial news. The objective of this paper is not to build a better trading bot, but to prove that reinforcement learning is capable of learning the tricks of stock trading.

Gateway into the John Snow Labs Ecosystem

GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks