Popular GitHub Repositories for Kl Divergence

Boltzmann Machines in TensorFlow with examples

? Research Framework for Single and Multi-Players ? Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

一个 Python 库，用于计算两个输入之间的梅尔倒谱距离（梅尔倒谱失真，MCD）。此实现基于 Robert F. Kubichek 在“用于客观语音质量评估的梅尔倒谱距离度量”中提出的方法。

一个用于计算两个输入之间梅尔倒谱距离 (Mel-Cepstral Distortion, MCD) 的 Python 库。此实现基于 Robert F. Kubichek 在“用于客观语音质量评估的梅尔倒谱距离度量”中提出的方法。

? Energy-Based Modeling library for PyTorch, offering tools for sampling, inference, and learning in complex distributions.

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

Repository for "Blending Data-Driven Priors in Dynamic Games" - RSS 2024

Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning

Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence

Experiments of the three PPO-Algorithms (PPO, clipped PPO, PPO with KL-penalty) proposed by John Schulman et al. on the 'Cartpole-v1' environment.

This repository contains the lab work for Coursera course on "Generative AI with Large Language Models".

Python implementation of Restricted Boltzmann Machine (RBM). And an example on MNIST dataset.

PyTorch package for KL-CPD algorithm for change point and anomaly detection in time series

A methodology designed to validate the statistical similarity of synthetic data generated by GAN models. The metrics contain Auto-encoder, PCA, t-SNE, KL-divergence, Clustering, and Cosine Similarity.

[WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation

This is the official repository of L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning github

A deep learning approach to estimate the KL-Grade of Knee Osteoarthritis (OA)

Python implementation of Bregman Hard Clustering and Bregman Soft Clustering as a scikit-learn module.

Experiments of divergence functions for DPO, RLHF

The ShadBot package has the ability to conduct trade online, perform backtests for offline trades, and review and analyze them, as well as optimize trades. Also, this package has the ability to optimize using artificial intelligence and predict future price values using machine learning algorithms