🔥 PyTorch

Deep Learning Framework, Neural Networks, Model Training, Tensor Computation

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Scoured 120601 posts in 1.23 s
Modalities, a PyTorch-native Framework For Large-scale LLM Training and Research
arxiv.org·2d
💬LLMs
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits
arxiv.org·1d
🤖Machine Learning
hirako2000/latent-energy: An Energy Based Model to solve nonograms via self supervised CNN
github.com·1d·
Discuss: Hacker News
🔄Transformers
PyG Documentation — pytorch_geometric documentation
pytorch-geometric.readthedocs.io·2d·
Discuss: Hacker News
🔍RAG
Grassmannian Manifold Learning: Optimization and Deep Learning Architectures
hackernoon.com·21h
🤖Machine Learning
Carnegie Mellon at NeurIPS 2025
blog.ml.cmu.edu·19h
🤖AI
Order parameters and phase transitions of continual learning in deep neural networks
pnas.org·23h
🔄Transformers
Wavelet Meets Adam: Compressing Gradients for Memory-Efficient Training
chipublib.idm.oclc.org·20h
🔄Transformers
A Hands-On Introduction to Restricted Boltzmann Machines with a Minimal NumPy Implementation
github.com·22h·
Discuss: DEV
🤖Machine Learning
Architectural and Mathematical Foundations of Machine Learning: A Rigorous Synthesis of Theory, Geometry, and Implementation
chizkidd.github.io·22h·
Discuss: Hacker News
🤖Machine Learning
AI Iteration Platforms
trendhunter.com·1d
🤖AI
EyesOff: Why Some Models Quantize Better Than Others
ym2132.github.io·13h·
Discuss: Hacker News
🤖AI
Image Classification with Convolutional Neural Networks
dev.to·2d·
Discuss: DEV
🤖Machine Learning
Adventures in Neural Rendering
interplayoflight.wordpress.com·1d·
Discuss: Hacker News
🤖Machine Learning
A training principle for drifting models
breno.bearblog.dev·45m
🤖Machine Learning
AI Inference Needs A Mix-And-Match Memory Strategy
semiengineering.com·3h
💬LLMs
Digitizing the "Shokunin": How we encoded a Master's hammer strike into AI
yusukekaizen.substack.com·5h·
Discuss: Substack
🤖AI
Applications of AI in Medicine
online.stanford.edu·4h
🤖AI
Turning Any Model into an XAI-Ready Model: Formats and Gradient Flow
dev.to·2d·
Discuss: DEV
🤖AI
Statistics-encoded tensor network approach in disordered quantum many-body spin chains
link.aps.org·1h
🤖Machine Learning

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