ZhuoLinLi-shu

ZhuoLinLi-shu's Stars

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  177k5.3k59451.1k

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell52.2k38224111.6k

• doocs/leetcode

  🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

  Language:Java31.8k318497.5k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook16.1k385394.6k

• chefyuan/algorithm-base

  一位酷爱做饭的程序员，立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com

  10.6k179251.6k

• denysdovhan/bash-handbook

  :book: For those who wanna learn Bash

  Language:JavaScript5.7k11046756

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.6k126217930

• zhouhaoyi/Informer2020

  The GitHub repository for the paper "Informer" accepted by AAAI 2021.

  Language:Python5.5k395851.1k

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.6k77962755

• sktime/pytorch-forecasting

  Time series forecasting with PyTorch

  Language:Python4k43790635

• Alro10/deep-learning-time-series

  List of papers, code and experiments using deep learning for time series forecasting

  Language:Jupyter Notebook2.6k817525

• qingsongedu/time-series-transformers-review

  A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

  2.5k611243

• shengyp/doing_the_PhD

  2k431262

• thuml/Autoformer

  About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

  Language:Jupyter Notebook2k15208425

• wangyuGithub01/Machine_Learning_Resources

  :fish::fish::fish: 机器学习面试复习资源

  1.1k120175

• lucidrains/performer-pytorch

  An implementation of Performer, a linear attention-based transformer, in Pytorch

  Language:Python1.1k1786144

• autoencoder-github/interviewtop

  744121123

• tejaslodaya/timeseries-clustering-vae

  Variational Recurrent Autoencoder for timeseries clustering in pytorch

  Language:Python465121983

• tech-srl/how_attentive_are_gats

  Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

  Language:Python31111838

• Chiaraplizz/ST-TR

  Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition

  Language:Python30073858

• emited/VariationalRecurrentNeuralNetwork

  Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

  Language:Python2828869

• clinicalml/structuredinference

  Structured Inference Networks for Nonlinear State Space Models

  Language:Jupyter Notebook26529565

• alexfanjn/Graph-Neural-Networks-With-Heterophily

  This repository contains the resources on graph neural network (GNN) considering heterophily.

  2257221

• XiaoyuBIE1994/DVAE

  Official implementation of Dynamical VAEs

  Language:Python2144839

• guoshnBJTU/ASTGNN

  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

  Language:Python1903077

• marcofraccaro/srnn

  Code for "Sequential Neural Models with Stochastic Layers"

  Language:Python1156133

• jhljx/CTGCN

  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

  Language:Python9541028

• square-coder/STGODE

  Spatial-Temporal Graph ODE Neural Network

  Language:Python9551426

• drzhang3/DeepTimeSeriesModel

  A paper list for Time series modelling, including prediciton and anomaly detection

  916121

• wangyuGithub01/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

  Language:Jupyter Notebook2001