Popular GitHub Repositories for Fisher Divergence

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Boltzmann Machines in TensorFlow with examples

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。

Deep learning methods for feature selection in gene expression autism data.

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

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

Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675

[EMNLP22] Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models

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

Official code for Fisher information embedding for node and graph learning (ICML 2023)

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

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

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

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

Fisher-Bures Adversary Graph Convolutional Networks

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

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

Simulation of car parking in different parking lots using Unity ML-Agents