zengyang7

LDD-Net

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

ng-video-lecture

Generative-models

This project aim to share the knowledge and code concerning generative models.

eventgraph_tutorial

A collection of tutorials for using Cypher and Neo4j for creating, querying, analyzing, and doing process mining with event knowledge graphs.

DenoisingDiffusionProbabilityModel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

kgtk-notebooks

Tutorial and hands-on notebook on using the Knowledge Graph Toolkit (KGTK)

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

KGReasoning

Multi-Hop Logical Reasoning in Knowledge Graphs

Linear_Algebra_With_Python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

zero_knowledge_graph

从零开始构建知识图谱

KnowledgeGraphBeginner

从零开始实现基于知识图谱的对话系统

PMSM_FOC

PMSM_FOC

An-Introduction-to-Statistical-Learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.

numpy-ml

Machine learning, in numpy

Parallel-PIGANs

This is the code of parallel PIGANs

SVPWM-1

SVPWM原理、实现与数学表达

SVPWM-2

SVPWM implementation in simulink simulation, and .c and .h files to include them in any embedded code

Fundamentals-Of-Power-Electronics-With-Matlab

Fundamentals Of Power Electronics With Matlab

MAML-Pytorch

Reproduce MAML in Pytorch with omniglot dataset.

rnn-notebooks

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Machine-Learning-in-Action

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Polynomial-Chaos-Expansion-Examples

Recreate plots in Paper 'THE WIENER–ASKEY POLYNOMIAL CHAOS FOR STOCHASTIC DIFFERENTIAL EQUATIONS'

Introduction-to-quantitative-trading

for_quant_study

ConstrainedGANs

This is the code for paper " Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems"

Shukongdashi

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

HNUThesis_try

Try

DeepLearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

machine-learning-course

:speech_balloon: Machine Learning Course with Python