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How to run R-style linear regressions in Python the easy way
The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
Samba is a simple yet powerful hybrid model with an unlimited context length. Its architecture is frustratingly simple: Samba = Mamba + MLP + Sliding Window Attention + MLP stacking at the layer level ...
A simple, unified multimodal models training engine. Lean, flexible, and built for hacking at scale.
torchrun --nproc_per_node=8 --nnodes=1 --node_rank=0 \ --master_addr=127.0.0.1 --master_port=12355 \ -m lmms_engine.launch.cli config_yaml=examples/qwen3_vl/example ...
Abstract: To consider model uncertainty in global Fréchet regression and improve density response prediction, we propose a frequentist model averaging method. The weights are chosen by minimizing a ...
Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...
The Green Bay Packers defense has kept opposing offenses under 20 points in four of their five games so far this season, but at times they have failed to slam the door in the second half. Of the 102 ...
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