linear-algebra

A concise, beginner-friendly introduction to the core ideas of linear algebra.

Qwen3-Omni

Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.

gepa

Optimize prompts, code, and more with AI-powered Reflective Text Evolution

dinov3

Reference PyTorch implementation and models for DINOv3

Synthetic-AI-Developer-Productivity-Dataset

High-fidelity synthetic dataset capturing AI developer productivity metrics — including focus hours, task completion rates, and burnout indicators. Privacy-safe, ideal for ML and workflow analytics.

synthetic-personality-dataset

Synthetic dataset and notebooks for introvert vs. extrovert personality modeling (privacy-safe, ML-ready).

amazon-bedrock-agentcore-samples

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

syncora-benchmarks

A lightweight, plug‑and‑play benchmark kit for synthetic data. Compare Syncora against other generators (e.g., Gretel, MostlyAI) by dropping in CSVs, then auto‑compute fidelity and similarity metrics. Works with any dataset via simple file naming no heavy setup needed.

synthetic-credit-default-syncora

High-fidelity synthetic dataset for credit default modeling

OmniGen2

OmniGen2: Exploration to Advanced Multimodal Generation.

agents-towards-production

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

Seed1.5-VL

Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning, achieving state-of-the-art performance on 38 out of 60 public benchmarks.