KindXiaoming

pykan

Kolmogorov Arnold Networks

BIMT

Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.

Omnigrok

Omnigrok: Grokking Beyond Algorithmic Data

schrodinger-pca

Schrodinger Principal Component Analysis

aipoincare

Counting the number of conservation laws from trajectory data

NNPhD-github

Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)

QHMC

Quantum-inspired Hamiltonian Monte Carlo code

sid

discovering interpretable conservation laws from differential equations

ml_hiddensym

Machine Learning hidden symmetries

KindXiaoming.github.io

website

adam

analyze optimizer properties

Expectation_Maximization

expectation maximization

models

Models and examples built with TensorFlow

relu_network

spatial_transformer_networks

Implementation of spatial transformer networks in keras 2.0 using tensorflow 1.0 as backend.

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

2019_DATAOPEN

2019 DATAOPEN held by Correlation One, sponsored by Citadel

CUPT

Hydro_18_7_23

anti mapping of Hydro

HydroGAN

Kaggle

keras

Deep Learning for humans

Mathematica

This repository is for notebooks of Mathematica.

Naive_Bayes

Naive Bayes method

Resume

LIU ZIMING's resume

scaling-law-general

Scaling-law-kerr

seya

Bringing up some extra Cosmo to Keras.

Softwares

Used for storing softwares

Stupid-Problems