Popular GitHub Repositories for Databricks Demos

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

This repository contains demos I made with the Transformers library by HuggingFace.

Simple and Distributed Machine Learning

LLM training code for Databricks foundation models

Pre-trained Deep Learning models and demos (high quality and extremely fast)

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

Scenarios, tutorials and demos for Autonomous Driving

IBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without decrypting it! The toolkit ships with two demos including a fully encrypted Machine Learning inference with a Neural Network and a Privacy-Preserving key-value search.

JavaScript/WebGL real-time face tracking and expression detection library. Build your own emoticons animated in real time in the browser! SVG and THREE.js integration demos are provided.

The Qualcomm? AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm? devices.

Azure OpenAI (demos, documentation, accelerators).

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

Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.

KAN-TTS is a speech-synthesis training framework, please try the demos we have posted at https://modelscope.cn/models?page=1&tasks=text-to-speech

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

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

JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.

A lightweight MCP server for database search & querying.

The Qualcomm? AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm? devices.