kaitokuroba7 Goto Github PK

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

arima_demo

autocard

浙江大学自动健康打卡，遇到问题可以查看/发起issue

cnc--interpolation

数控机床的（CNC）的直线以及圆弧插补

deep-learning-from-scratch

深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

github-example

gnn_learn

gz_traveltime

天池大数据比赛，贵州智慧交通预测

hello-world

This is my first repository!

images_for_blogs

这里存放我博客的图片

introduction_to_transfer_learning_wjd

王晋东的迁移学习导论_学习代码

learngit

lihang-code

《统计学习方法》的代码实现

linux_ubuntu_learning

这是小张学习Linux的笔记

logicstack-leetcode

公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

my_astgcn

研究PeMS数据集

my_python

我的python学习

neteasecloudmusicapi

网易云音乐 Node.js API service

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

particle-swarm-optimization

Learn about particle swarm optimization (PSO) through Python!

patchtst

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

pygcn

Graph Convolutional Networks in PyTorch

pytorch_learning

pytorch框架学习

pytorch_lightning_learning

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

resume

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git