Pre-trained image models using ONNX for fast, out-of-the-box inference.
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Updated
Jul 27, 2026 - Python
Pre-trained image models using ONNX for fast, out-of-the-box inference.
Automate tasks with specialized AI Agents using CrewAI, Langchain and LLMs, a team of agents that can work together to complete tasks using AI prompting techniques from creating tasks to generating keynote speeches.
Complete source code for SFT and async GRPO reinforcement learning recipes on Qwen3 models using Microsoft Foundry, Ray, and SLIME — with a multi-turn retail environment and Streamlit dashboard. From Microsoft Build 2026.
Turn a frozen open-source model into a ~98%-verified, hands-free first-aid assistant — with inference-time compute and a deterministic verifier. Zero training.
ConvNeXt-CLF-75 is a food image classifier fine-tuned from ConvNeXt_tiny on a curated subset of 75 food categories from the MM-Food-100K dataset. The model is designed to serve as a semantic guide for a downstream segmentation network in a calorie‑estimation pipeline. The classifier outputs class predictions (multi-label).
InfernoBench: open-source AI model installers, local inference benchmarks, and reproducible browser labs. Wan2.1 and Sulphur-2 included.
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