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<title>AMEFORGE — Independent AI Research Studio</title>
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</head>
<body>
<!-- Header -->
<div class="header">
<div class="header-inner">
<div class="org-label">AI Research Studio</div>
<h1 class="org-name">AMEFORGE</h1>
<p class="org-tagline">We design novel neural architectures, publish peer-reviewed research, and deploy production-ready models — with software that brings these innovations directly to users.</p>
<div class="header-links">
<a href="https://ameforge.tech" target="_blank">🌐 ameforge.tech</a>
<a href="https://arxiv.org/abs/2603.14651" target="_blank">📄 arXiv</a>
<a href="https://github.com/Volgat" target="_blank">⌥ GitHub</a>
<a href="mailto:contact@ameforge.tech">✉ contact@ameforge.tech</a>
</div>
</div>
</div>
<!-- Main -->
<div class="main">
<!-- About -->
<div class="section">
<div class="section-title">About</div>
<p class="about-text">
Ameforge is an independent AI research studio focused on advancing the state of the art in neural architecture design, efficient inference, and continual learning. Our research spans time-series forecasting, natural language processing, and sparse neural networks. We publish openly on arXiv and release models and tools for the research community.
</p>
</div>
<!-- Research -->
<div class="section">
<div class="section-title">Research Projects</div>
<div class="research-grid">
<div class="research-card">
<div class="research-card-header">
<span class="research-name">EARCP</span>
<span class="badge badge-published">Published</span>
</div>
<p class="research-desc">Ensemble Adaptive Recurrent Cascade Predictor. Multi-expert architecture combining CNN, BiLSTM, and Transformer for adaptive time-series prediction. Validated on Kaggle Hull Tactical (Rank 708 / 18,000+, Top 24%).</p>
<div class="research-links">
<a href="https://arxiv.org/abs/2603.14651" target="_blank" class="research-link">arXiv Paper</a>
<a href="https://pypi.org/project/earcp/" target="_blank" class="research-link">pip install earcp</a>
<a href="https://www.kaggle.com/competitions/hull-tactical-market-prediction/leaderboard" target="_blank" class="research-link">Kaggle</a>
</div>
</div>
<div class="research-card">
<div class="research-card-header">
<span class="research-name">SCLM</span>
<span class="badge badge-active">Active</span>
</div>
<p class="research-desc">Sparse Cascade Language Model. High-efficiency language modeling architecture built on EARCP principles. Dual-license model: open research use and commercial licensing available.</p>
<div class="research-links">
<a href="https://ameforge.tech/research/sclm" target="_blank" class="research-link">Documentation</a>
<a href="mailto:contact@ameforge.tech" class="research-link">Commercial License</a>
</div>
</div>
<div class="research-card">
<div class="research-card-header">
<span class="research-name">SparseMind</span>
<span class="badge badge-research">Research</span>
</div>
<p class="research-desc">Sparse neural architecture research achieving 87.5% weight sparsity with competitive perplexity. Designed for efficient inference on resource-constrained environments.</p>
<div class="research-links">
<a href="https://ameforge.tech/research/sparse" target="_blank" class="research-link">Learn more</a>
</div>
</div>
<div class="research-card">
<div class="research-card-header">
<span class="research-name">NexusBPE</span>
<span class="badge badge-active">Active</span>
</div>
<p class="research-desc">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.</p>
<div class="research-links">
<a href="https://huggingface.co/AMFORGE/gearcut_tok" target="_blank" class="research-link">HuggingFace</a>
<a href="https://ameforge.tech/research/nexusbpe" target="_blank" class="research-link">Documentation</a>
</div>
</div>
<div class="research-card">
<div class="research-card-header">
<span class="research-name">MemoryBank</span>
<span class="badge badge-research">Research</span>
</div>
<p class="research-desc">Long-term memory mechanism for neural networks addressing catastrophic forgetting in continual learning scenarios. LPOLMemory architecture for persistent knowledge retention.</p>
<div class="research-links">
<a href="https://ameforge.tech/research/memorybank" target="_blank" class="research-link">Learn more</a>
</div>
</div>
</div>
</div>
<!-- Models -->
<div class="section">
<div class="section-title">Published Models</div>
<div style="background: var(--white); border: 1px solid var(--border); border-radius: 6px; overflow: hidden;">
<table class="models-table">
<thead>
<tr>
<th>Model</th>
<th>Task</th>
<th>License</th>
<th>Status</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://huggingface.co/AMFORGE/gc_editor1" target="_blank">AMFORGE/gc_editor1</a></td>
<td>Text Generation</td>
<td>CKL</td>
<td><span class="badge badge-active">Active</span></td>
</tr>
<tr>
<td><a href="https://huggingface.co/AMFORGE/gc_editor" target="_blank">AMFORGE/gc_editor</a></td>
<td>Text Generation</td>
<td>CKL</td>
<td><span class="badge badge-active">Active</span></td>
</tr>
<tr>
<td><a href="https://huggingface.co/AMFORGE/gearcut_tok" target="_blank">AMFORGE/gearcut_tok</a></td>
<td>Tokenizer (NexusBPE)</td>
<td>CKL</td>
<td><span class="badge badge-active">Active</span></td>
</tr>
<tr>
<td><a href="https://huggingface.co/AMFORGE/gc_editorablationtest" target="_blank">AMFORGE/gc_editorablationtest</a></td>
<td>Ablation Study</td>
<td>CKL</td>
<td><span class="badge badge-research">Research</span></td>
</tr>
</tbody>
</table>
</div>
<p style="font-size: 0.75rem; color: var(--text-muted); margin-top: 0.75rem;">All models are released under the CKL (Custom Knowledge License). Commercial licensing available upon request.</p>
</div>
<!-- Contact -->
<div class="section">
<div class="section-title">Contact</div>
<div class="contact-block">
<div class="contact-text">
<h3>Research collaboration & licensing</h3>
<p>Interested in our research, commercial licensing, or partnership opportunities?</p>
</div>
<a href="mailto:contact@ameforge.tech" class="contact-email">✉ contact@ameforge.tech</a>
</div>
</div>
</div>
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© 2025 Ameforge. All rights reserved. · <a href="https://ameforge.tech" style="color: inherit;">ameforge.tech</a>
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