🔥 PyTorch

Tensor Operations, Automatic Differentiation, Neural Network Training, GPU Computing

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Building a mini PyTorch in C++ from scratch as a high school student...
dev.to·6h·
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Show HN: 4x faster Deep Learning training – we replaced the DataLoader with Rust
news.ycombinator.com·1d·
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PyTorch 2.10 Released With More Improvements For AMD ROCm & Intel GPUs
phoronix.com·1h
⚡Hardware Acceleration
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StoTAM: Stochastic Alternating Minimization for Tucker-Structured Tensor Sensing
arxiv.org·14h
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Why AI Needs GPUs and TPUs: The Hardware Behind LLMs
blog.bytebytego.com·2d
⚡Hardware Acceleration
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CUDA Programming: From Zero to GPU Kernels
pythongiant.github.io·8h·
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⚙️Performance Profiling
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FlashLabs Chroma 1.0: A Real-Time End-to-End Spoken Dialogue Model
huggingface.co·3h·
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🗣️Speech Synthesis
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AI Learning Roadmap for Beginners: Step-by-Step Guide
dev.to·2h·
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🏗️AI Infrastructure
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Implementing Dino from Scratch
logits.bearblog.dev·13h·
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🔍Reverse Engineering
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Batmobile: 10-20x Faster CUDA Kernels for Equivariant Graph Neural Networks
elliotarledge.com·3d·
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A universal linearized subspace refinement framework for neural networks
arxiv.org·14h
📱Edge AI
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GPU as a Service: Revolutionizing Compute Power for Modern Workloads
future.forem.com·7h·
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⚡Hardware Acceleration
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Everyone deserves a better computer | Ahead Computing
aheadcomputing.com·3h·
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🏗Computer Architecture
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Co-optimization Approaches For Reliable and Efficient AI Acceleration (Peking University et al.)
semiengineering.com·1h
⚡Hardware Acceleration
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Everything Moe
ianbarber.blog·15h·
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Managing Memory During ML Compilation
sachinjoglekar.substack.com·2d·
Discuss: Substack
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Qdrant - Vector Database
qdrant.tech·20h
🎯Vector Databases
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Artificial Intelligence
radiofreemobile.com·12h
🤖Anthropic Claude
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ZeroDP: Just-in-Time Weight Offloading over NVLink for Data Parallelism
mainlymatmul.com·2d·
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🔁Cache Coherence
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The Convolutional Neural Network
cocakoala.substack.com·2d·
Discuss: Substack
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