Popular GitHub Repositories for Knesser Ney Smoothing

Machine learning, in numpy

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Hierarchical Time Series Forecasting with a familiar API

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

A lightweight adjustment tool for smoothing token probabilities in the Qwen models to encourage balanced multilingual generation.

Python implementation of an N-gram language model with Laplace smoothing and sentence generation.

The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021

?‍⬛ Contextual bandits library for continuous action trees with smoothing in JAX

This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothing》.

Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.

Real-time time series prediction library with standalone server

Next Word Prediction using n-gram Probabilistic Model with various Smoothing Techniques

Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)

A Note On Over-Smoothing for Graph Neural Network

Machine learning and data analysis package implemented in JavaScript and its online demo.

[ICLR'25] "Understanding Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing" by Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li

Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)

Language modeling based on ngrams models and smoothing techniques