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accelerated-information-gradient-flow

This presents the codes for the numerical experiments in the paper Accelerated Information Gradient flow.

agents

An Open-source Framework for Autonomous Language Agents

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

awgf

Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)

bci

cgan

cmpmc

fgh-flow

Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)

fpovi

Code for "Function Space Particle Optimization for Bayesian Neural Networks"

geomloss

Geometric loss functions between point clouds, images and volumes

github_action_test

global-divergences

MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.

gsplinets

B-Spline CNNs on Lie groups

homomorphicsensing

Homomorphic Sensing

ifl-tpp

Implementation of "Intensity-Free Learning of Temporal Point Processes"

implicit-variational-inference

The collection of recent papers about variational inference

information-newton-flow

Second-order optimization method in probability space.

kerneltda

Kernel Methods for Persistence Diagrams

laplaciansmoothing-gradientdescent

The code for the paper: https://arxiv.org/abs/1806.06317

ls-mcmc

matrix_svgd

Stein Variational Gradient Descent with Matrix-Valued Kernels

mfgnet.jl

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems

mmd-gan

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

paper

paralleltransportspdmanifold

persim

Distances and representations of persistence diagrams

persistent-homology

pot

Python Optimal Transport library

riem-svgd

Codes for "Riemannian Stein Variational Gradient Descent for Bayesian Inference" (AAAI-18)