A Lightweight Recommendation System

Turns Data and AI algorithms into production-ready web applications in no time.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using …

AIConfig is a config-based framework to build generative AI applications.

Build ChatGPT over your data, all with natural language

Unified framework for building enterprise RAG pipelines with small, specialized models

LLM Finetuning with peft

Code for Security Relevant Methods of Android’s API Classification: A Machine Learning Empirical Evaluation

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

TensorFlow implementation of TabTransformer

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…

🐢 Open-Source Evaluation & Testing library for LLM Agents

Material for learning and practicing the technique of multi-objective optimisation

Automatically find issues in image datasets and practice data-centric computer vision.

Examples and guides for using the OpenAI API

Deep Learning for humans

VSCode extension for code suggestion

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

NeuralProphet: A simple forecasting package

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Retrieve quotes from any Wikiquote article

Earth observation processing framework for machine learning in Python