Popular GitHub Repositories for Small Sample Size

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

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

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

A collection of small corpuses of interesting data for the creation of bots and similar stuff.

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi 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

Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale.

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

???YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

? A curated list of Tiny Object Detection papers and related resources.

Sample app for Androidify

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

"MiniRAG: Making RAG Simpler with Small and Free Language Models"

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

Web UI for AutoGen (A Framework Multi-Agent LLM Applications)

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.