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tahamajs/RR / Docs /visualizer
67.2 GB
208,150 files
Updated about 1 month ago
Name
Size
backend
components
docs
react
src
tests
DEMO.md11.9 kB
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DEPLOYMENT.md1.34 kB
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DETAIL_AUDIT.md7.98 kB
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README.md979 Bytes
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app.js924 Bytes
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build_standalone.py2.64 kB
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consolidate_components.py1.51 kB
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deep_inspect_batch.py24.7 kB
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deploy_to_hf_space.py3.62 kB
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enhance_complete.py21.1 kB
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export_module_catalog.py8.4 kB
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favicon.ico94 Bytes
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generate_module_components.py18.4 kB
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index.html30.4 kB
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insp_distilbert.png99.7 kB
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insp_gpt2.png98.5 kB
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insp_qwen.png99 kB
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insp_roberta.png99.4 kB
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inspect_webgl.py2.02 kB
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live_render.png85.5 kB
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mega_enhance.py29 kB
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merge_verified_benchmarks.py4.87 kB
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model_to_3d.py33.4 kB
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modules-catalog.json344 kB
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modules_components.json731 kB
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new_render.png91.2 kB
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pipeline_distilbert_v_factor.png251 kB
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pipeline_gpt2_c_fc.png253 kB
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pipeline_gpt2_initial.png269 kB
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pipeline_qwen_gate_proj.png271 kB
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pipeline_qwen_initial.png287 kB
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screenshot_diag.png213 kB
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screenshot_distilbert.png287 kB
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screenshot_gpt2.png255 kB
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screenshot_initial.png286 kB
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screenshot_inspector_scrolled.png260 kB
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screenshot_mamba.png258 kB
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screenshot_qwen.png268 kB
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screenshot_qwen_matrix.png258 kB
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screenshot_roberta.png257 kB
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screenshot_soa.png286 kB
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serve.py2.31 kB
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spatial-data.json3.12 MB
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standalone.html5.41 MB
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stream_distilbert_svd.png278 kB
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stream_gpt2_fused.png286 kB
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stream_qwen_swiglu.png296 kB
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stream_v_factor_highlighted.png269 kB
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style.css71.5 kB
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test_conduits_distilbert.png280 kB
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test_conduits_gpt2.png290 kB
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test_conduits_qwen.png302 kB
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test_conduits_v_factor_active.png271 kB
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test_illuminated_pipeline_item.png276 kB
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test_illuminated_v_factor.png301 kB
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tf_card_distilbert.png47.9 kB
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tf_card_gpt2.png47.3 kB
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tf_card_qwen.png47.8 kB
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tf_card_roberta.png47.8 kB
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u_factor_illuminated_centered.png274 kB
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v_factor_illuminated_centered.png267 kB
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verified_render.png91.2 kB
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verify_distilbert_lifecycle.png327 kB
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verify_gpt2_lifecycle.png303 kB
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verify_qwen_lifecycle.png306 kB
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verify_render.py1.98 kB
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README.md

3D Neural Architecture Visualizer & Compression Atlas

Interactive WebGL 3D dataflow and multi-model architectural comparison across DistilBERT, RoBERTa, GPT-2, and Qwen-2.5.

Key Capabilities

  • Interactive 3D Computational Graphs: Explore exact projection geometries, attention heads, SVD bottlenecks, GPT-2 fused Conv1D, and Qwen-2.5 GQA.
  • Side-by-Side Architectural Comparison: Baseline uncompressed transformer backbone vs. SVD / Low-Rank factorized topology.
  • 240 Research Modules: Verified drop-in attention and compression mechanisms with live LaTeX formulas, tensor shapes, and code snippets.
  • Real-Time Token Physics: Trace tokens through residual skip highways, Q/K/V projections, and MLP feedforward blocks.
  • Zero-Install Static App: Pure client-side Three.js & Vanilla ES modules.
Total size
67.2 GB
Files
208,150
Last updated
Sep 27
Pre-warmed CDN
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