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OpenMMLab Pose Estimation Toolbox and Benchmark.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Instant offline SQL-powered data visualisation in your browser

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

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.

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

Brand new TTS solution

DSPy: The framework for programming—not prompting—foundation models

This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.

Fast data visualization and GUI tools for scientific / engineering applications

دوره‌ی مقدمه‌ای بر یادگیری ماشین، برای دانشجویان

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Speaker Verification using Pytorch

My Python Examples

Let's play c.

Linux system automation

Let's play typescript.

Simple is good.