Popular GitHub Repositories for Laplace 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

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

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

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

Example problems in Physics informed neural network in JAX

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

?‍⬛ 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

Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.

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