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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

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

abc-npmc

abc-vae

The code for ABC-VAE

an-introduction-to-statistical-learning

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

ann-based-svpwm

Artificial Neural Network based Space Vector PWM in Four Switch Three Phase inverter

cifar-autoencoder

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

cifar-zoo

PyTorch implementation of CNNs for CIFAR dataset (97.71% on cifar10)

commontool

Pytorch 数据处理的工具

constrainedgans

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

deeplearning

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

deeplearning_capnet

Custom implementation of CapNet from Prof Hinton https://arxiv.org/abs/1710.09829

denoising-autoencoder

Denoising Autoencoder on MNIST implemented in Tensorflow

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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.

eventgraph_tutorial

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

fundamentals-of-power-electronics-with-matlab

Fundamentals Of Power Electronics With Matlab

generative-models

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

github-gans-for-high-dimensional-helix-function

gitpushfun

just push a code for fun

hello-world

Try github

hnuthesis_try

Try

interpy-zh

📘《Python进阶》（Intermediate Python 中文版）

introduction-to-quantitative-trading

for_quant_study

kgreasoning

Multi-Hop Logical Reasoning in Knowledge Graphs

kgtk-notebooks

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

knowledgegraphbeginner

从零开始实现基于知识图谱的对话系统

ldd-net

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.

machine-learning-course

:speech_balloon: Machine Learning Course with Python

machine-learning-in-action

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀