What I learned building Python notebooks to run any AI model (LLM, Vision, Audio) — across CPU, GPU, and NPU
reddit.com·7h·
Discuss: r/programming
⚡ONNX Runtime
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Active transfer learning for structural health monitoring
arxiv.org·21h
🎓Model Distillation
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Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
arxiv.org·21h
🎓Model Distillation
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Masked Softmax Layers in PyTorch
mcognetta.github.io·10h·
Discuss: Hacker News
🔥PyTorch
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Don’t Just Normalize, Batch Normalize! A Guide to Stable Neural Networks
pub.towardsai.net·19h
📊Gradient Accumulation
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Beyond the Cloud: How Taiwan's Industries Are Orchestrating the Real-World Symphony of AI Implementation
prnewswire.com·17h
⚡ONNX Runtime
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Diffusion-Driven Generation of Minimally Preprocessed Brain MRI
arxiv.org·21h
📉Model Quantization
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MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electrocardiogram Data
arxiv.org·21h
📉Model Quantization
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Automated Personalized Chemotherapy Optimization via Multi-Modal Data Fusion & Reinforcement Learning
dev.to·1d·
Discuss: DEV
⚡ONNX Runtime
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Show HN: I built an edge ML system to detect and classify trick-or-treaters
basecase.vc·8h·
Discuss: Hacker News
🔍Type Checkers
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Our newest model: Chandra (OCR)
datalab.to·1d·
Discuss: Hacker News
🔄ONNX
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A Thesis and Playbook for Edge AI
ondeviceguy.substack.com·15h·
Discuss: Substack
⚡ONNX Runtime
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From hours to seconds: AI tools to detect animal calls
seangoedecke.com·1d·
Discuss: Hacker News
📉Model Quantization
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Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
github.com·13h·
Discuss: Hacker News, r/LocalLLaMA
🤖AI Coding Tools
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·2h
📉Model Quantization
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Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
arxiv.org·21h
🧮cuDNN
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MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even Smarter
towardsdatascience.com·1d
🎯Tensor Cores
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[D][P] PKBoost v2 is out! An entropy-guided boosting library with a focus on drift adaptation and multiclass/regression support.
reddit.com·14h·
Discuss: r/MachineLearning
📉Model Quantization
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ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding
arxiv.org·21h
👁️Attention Optimization
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<p>**Abstract:** Accurate characterization of geothermal fluids and subsurface reservoirs is critical for efficient and sustainable energy extraction. Tradition...
freederia.com·1d
🔄ONNX
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