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Scoured 6131 posts in 15.3 ms
mlr3torch: A Deep Learning Framework in R based on mlr3 and torch  🧠LLM
arxiv.org·4d
ParaRNN: Large-Scale Nonlinear RNNs, Trainable in Parallel  🧠LLM
machinelearning.apple.com·2d·Hacker News
meta-pytorch/spmd_types: This module defines a type system for distributed training code, based off of JAX's sharding in types, but adapted for the PyTorch ecosystem.  🧠LLM
github.com·10h·Hacker News
Which one is more important: more parameters or more computation? (2021)  💡AI Reasoning
parl.ai·14h·Hacker News
deepseek-ai/DeepSeek-V4-Flash  🧠LLM
huggingface.co·1d·Hacker News
Verified Deep Learning with Lean 4  🧠LLM
brettkoonce.github.io·3d·Hacker News
Machine Learning Visualized – Machine Learning Visualized  🧠Machine Learning
ml-visualized.com·1d·Hacker News
Neural Networks Explained In Plain English  🧠Machine Learning
blog.algomaster.io·4d
F\textsuperscript{2}LP-AP: Fast \& Flexible Label Propagation with Adaptive Propagation Kernel  🧠LLM
arxiv.org·2d
Energy-Based Open-Set Active Learning for Object Classification  🧠Machine Learning
arxiv.org·2d
massimilianoconcas0-del/Relational_Loss_ML: A scale-invariant loss function for Deep Learning. Replace Absolute Loss (MSE) with Relational Loss to achieve 4000x faster convergence and zero-shot transfer across scales.  🧠Machine Learning
github.com·1d·Hacker News
BASIS: Balanced Activation Sketching with Invariant Scalars for "Ghost Backpropagation"  🤖Transformers
arxiv.org·4d
Scalable AI Inference: Performance Analysis and Optimization of AI Model Serving  💡AI Reasoning
arxiv.org·2d
LibratioAI/sessa: Official PyTorch implementation of Sessa: Selective State Space Attention for long-context sequence modeling.  🧠LLM
github.com·1d·Hacker News
Physics-Informed Neural Networks: A Didactic Derivation of the Complete Training Cycle  🧠Machine Learning
arxiv.org·4d
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming  📐Optimization Theory
arxiv.org·4d
Differentiable Conformal Training for LLM Reasoning Factuality  🧠LLM
arxiv.org·2d
Comparison between Supervised and Unsupervised Learning in Deep Unfolded Sparse Signal Recovery  🗜️Compressed Sensing
arxiv.org·1d
RAYEN: Imposition of Hard Convex Constraints on Neural Networks  🤖AI
arxiv.org·4d
LAF-Based Evaluation and UTTL-Based Learning Strategies with MIATTs  💬LLMs
arxiv.org·1d

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