🔥 PyTorch

Deep Learning, Neural Networks, Model Training, GPU Computing

Unlock the Power of GANs: Train with Tiny Datasets!
dev.to·15h·
Discuss: DEV
🔬Deep Learning
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·13h·
Discuss: Hacker News
👁️Computer Vision
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·17h·
Discuss: Hacker News
🎴TAO
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Language-Enhanced Generative Modeling for PET Synthesis from MRI and Blood Biomarkers
arxiv.org·5h
🚀MLOps
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·1d·
Discuss: DEV
📱Edge AI
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Crushing ML Latency: The (Un)Official Best Practices for Systems Optimisation
pub.towardsai.net·5h
🚀Performance
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.com·14h
💬Prompt Engineering
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Continuous Autoregressive Language Models
shaochenze.github.io·7h·
Discuss: Hacker News
📱Edge AI
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Generalizing Test-Time Compute-Optimal Scaling as an Optimizable Graph
huggingface.co·6h·
Discuss: Hacker News
🎴TAO
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·2d·
Discuss: r/LLM
💬Prompt Engineering
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Real-time stock volatility prediction with deep learning on a time-series DB
medium.com·1d·
Discuss: Hacker News
💰TigerBeetle
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Post-training methods for language models
developers.redhat.com·1d
💬Prompt Engineering
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·1d
🧠Machine Learning
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Spiking Neural Networks: The Next Leap in AI Power Efficiency by Arvind Sundararajan
dev.to·9h·
Discuss: DEV
📱Edge AI
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The Role of GPUs in Accelerating Deep Learning Training
acecloud.ai·6d·
Discuss: DEV
🔬Deep Learning
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NDC Conferences: "Would YOU Survive the Titanic?", with ML and .NET - Simon Painter - NDC Copenhagen 2025
youtube.com·14h·
Discuss: DEV
🚀MLOps
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Unlocking AI Vision with the Wisdom of Cats: Building Generalizable Models
dev.to·1h·
Discuss: DEV
📱Edge AI
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NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
arxiv.org·5h
🔢NumPy
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Masked Softmax Layers in PyTorch
mcognetta.github.io·1d·
Discuss: Hacker News
📱Edge AI
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Powering the Future of AI: L40S GPU Server vs H100 GPU Server
dev.to·4h·
Discuss: DEV
⚡Hardware Acceleration
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