Making large AI models cheaper, faster and more accessible
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ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
An open source implementation of CLIP.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
An open-source, tool-augmented conversational language model from Fudan University
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.