Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Atlassian Python REST API wrapper

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

In this paper, we apply machine learning to create bots for Halite III, @twosigma's annual A.I. competition. We develop one classifier using Support Vector Machine with Supervised Learning, and one…

This is a workshop designed for Amazon Bedrock a foundational model service.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C…

🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…

Run popular GPTs without the need for ChatGPT Plus subscription

A repository of code samples for Vector search capabilities in Azure AI Search.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Azure Serverless Office document converter to PDF

Never use print for debugging again

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

Sample code for a simple web chat experience through Azure OpenAI, including Azure OpenAI On Your Data.

Visualizations for machine learning datasets

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Python sample codes and textbook for robotics algorithms.

NLP and Text Mining technics with Simpsons episodes text

Azure Quickstart Templates

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables a…

Computer Vision dataset analysis

Exercise files for Microsoft Data Engineer curriculum

A list of references on lidar point cloud processing for autonomous driving

pca: A Python Package for Principal Component Analysis.