organization: AMFORGE
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.
pip install earcp
📄 arXiv Paper · 🏆 Kaggle 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.
| Model | Task | Status |
|---|---|---|
| gc_editor1 | Text Generation | Active |
| gc_editor | Text Generation | Active |
| gearcut_tok | Tokenizer | Active |
Contact
📧 contact@ameforge.tech
🌐 ameforge.tech