🔥 PyTorch

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

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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
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🏗️AI Infrastructure
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GoMLX: Accelerating Machine Learning with Go, GPUs, and TPUs
dev.to·7h·
Discuss: DEV
🔥Burn
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Variationally correct operator learning: Reduced basis neural operator with a posteriori error estimation
arxiv.org·2d
💻Local LLMs
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Exploring TabPFN: A Foundation Model Built for Tabular Data
towardsdatascience.com·5h
🐻‍❄️Polars
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Christmas came with a pleasant GPU surprise
pechotierra.bearblog.dev·13h
⚡Hardware Acceleration
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Introducing the XLab AI Security Guide
lesswrong.com·3h
🛡️Computer Security
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The 2025 Guide to Machine Learning
ibm.com·1d·
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📱Edge AI
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Tour de Language Modeling: Part 1
conda.bearblog.dev·4d
🤖Transformers
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Depth on Demand
solmaz.io·1d·
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🤖AI Coding Tools
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What Is ChatGPT Doing?
vibediary.dev·2d·
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🗣️Speech Synthesis
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You Do NOT need augmentations to train your Classifiers!!
dev.to·7h·
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🚀MLOps
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A tiny AI supercomputer for your desk
youtube.com·1d·
Discuss: r/hardware
⚡Hardware Acceleration
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TheRemyyy/neurox-ai: Neuromorphic Computing System GPU-accelerated, spiking neural network platform targeting 1-10M neurons with biological accuracy and real-time performance.
github.com·5h·
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🧠Neuromorphic Chips
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·46m·
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🤖Transformers
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Treating Functions as Vectors in Hilbert Space
hackaday.com·1d
λFunctional Programming
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Book Review: Why Machines Learn
philippdubach.com·20h·
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📱Edge AI
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Understanding Gradients: The Engine Behind Neural Network Learning
dev.to·23h·
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🤖Transformers
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Cross-Modal Knowledge Distillation for deep-sea exploration habitat design with embodied agent feedback loops
dev.to·23h·
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🤖Anthropic Claude
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Deep Kronecker Network
arxiv.org·2d
🤝Federated Learning
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is this legit? Supposedly LangVAE straps a VAE + compression algorithm onto any LLM image, reduces resource requirements by up to...
arxiv.org·3d·
Discuss: r/LocalLLaMA
💻Local LLMs
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