machine-learning

To implement LLM as a services.

SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models

🚀 Lightweight Python library for building production LLM applications with smart context management and automatic token optimization. Save 10-20% on API costs while fitting RAG docs, chat history, and prompts into your token budget.

Uses GPT2 to simulate your friends

.NET library for local embedding generation using ONNX and Microsoft.Extensions.AI

🏠 An AI real estate app featuring secure auth, conversation management, & personalized property recommendations. Powered by Agentic AI, RAG (w/ Pinecone), GraphRAG (w/ Neo4j), MCP, kNN, K‑Means Clustering, CoT, LangGraph, and a Mixture‑of‑Experts ensemble to deliver accurate, effective, and scalable AI insights. Also features a VS Code extension!

Convert Hugging Face tokenizers to ONNX models for cross-language compatibility (.NET, Java, Python) with embedding models

CLI-native local AI image and video generation for people, scripts, and agents — CUDA on Linux, Metal on macOS, plus desktop, web, TUI, iPhone, REST/SSE, and MCP.

This repo contains evaluation code for the paper "MileBench: Benchmarking MLLMs in Long Context"

Train YOLO + VLM with one command. Auto-generate vision-language training data from YOLO labels - no extra labeling needed.

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Buildings block for voice-enabled applications in the browser

Open-source LLM Prompt-Injection and Jailbreaking Playground

一份来自2026年的AI精神病理学诊断报告 / A Pathological Diagnosis of AI Civilization

21 runnable reference implementations of agent design patterns, including routing, planning, RAG, tool use, reflection, and multi-agent workflows.

🚀 Welcome to AskSage Open Source Repo, a community aimed at providing code 🧑‍💻, documentation📝, and proof-of-concept projects for interacting with the AskSage API. This repository serves as an unofficial resource for paid subscribers seeking practical guidance on utilizing the API. If you have any questions email us support@asksage.ai

Convert your Colab notebook to a PDF. One-minute install. Zero configuration.

🖼️ Classify images and extract data from or describe their contents using machine learning

A PyTorch Lightning Callback for pushing models to the Hugging Face Hub 🤗⚡️

The Practical Machine Learning Course focuses on equipping learners with the essential skills and tools needed to apply machine learning techniques in real-world scenarios.