Add Ameforge organization card

README.md

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-title: README
-emoji: 🌖
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+organization: AMFORGE
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<div align="center">
+
+# AMEFORGE
+
+**Independent AI Research Studio**
+
+[Website](https://ameforge.tech) · [GitHub](https://github.com/amewebstudio) · [Google Play](https://play.google.com/store/apps/dev?id=8746471888242300768)
+
+</div>
+
+---
+
+## About
+
+Ameforge is an independent AI research studio. We design novel architectures, publish peer-reviewed research, and deploy production-ready models — with software that brings these innovations directly to users.
+
+Our work spans deep learning architecture research, natural language processing, time-series forecasting, and mobile software development.
+
+---
+
+## Research
+
+### EARCP — Ensemble Adaptive Recurrent Cascade Predictor
+
+Published on arXiv · Validated on Kaggle Hull Tactical Market Prediction (Rank 708 / 18,000+ teams · Top 24%)
+
+A multi-expert ensemble architecture combining CNN, BiLSTM, and Transformer components for adaptive time-series prediction. Applicable to financial forecasting, sensor data, computer vision, and autonomous systems.
+
+```bash
+pip install earcp
+```
+
+📄 [arXiv Paper](https://arxiv.org/abs/2603.14651) · 🏆 [Kaggle Leaderboard](https://www.kaggle.com/competitions/hull-tactical-market-prediction/leaderboard)
+
+---
+
+### SparseMind — Sparse Neural Architecture Research
+
+Experimental research into high-sparsity neural architectures achieving 87.5% weight sparsity while maintaining competitive perplexity scores. Designed for efficient inference on resource-constrained environments.
+
+---
+
+### NexusBPE — Custom Tokenizer Pipeline
+
+A custom Byte-Pair Encoding tokenizer trained on a curated multilingual corpus (code, natural language, technical documents). Designed to complement Ameforge's internal language model research.
+
+---
+
+### MemoryBank (LPOLMemory) — Continual Learning Research
+
+Research into long-term memory mechanisms for neural networks, addressing catastrophic forgetting in continual learning scenarios.
+
+---
+
+## Models
+
+All published models are available under the **CKL (Custom Knowledge License)**. Commercial licensing available — contact [contact@ameforge.tech](mailto:contact@ameforge.tech).
+
+| Model | Task | Status |
+|---|---|---|
+| gc_editor1 | Text Generation | Active |
+| gc_editor | Text Generation | Active |
+| gearcut_tok | Tokenizer | Active |
+
+---
+
+## Contact
+
+📧 [contact@ameforge.tech](mailto:contact@ameforge.tech)  
+🌐 [ameforge.tech](https://ameforge.tech)
+
+---
+
+<div align="center">
+<sub>© 2025 Ameforge. All rights reserved.</sub>
+</div>