sanjmgr
Software Engineer, Nepal 🇳🇵</> Javascript, Python, Java, SQL, HTML, CSS
Zakipoint Health, IncLalitpur,Nepal
sanjmgr's Stars
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
ryanmcdermott/clean-code-javascript
:bathtub: Clean Code concepts adapted for JavaScript
iluwatar/java-design-patterns
Design patterns implemented in Java
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
satwikkansal/wtfpython
What the f*ck Python? 😱
GorvGoyl/Clone-Wars
100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.
williamfiset/Algorithms
A collection of algorithms and data structures
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
PavelDoGreat/WebGL-Fluid-Simulation
Play with fluids in your browser (works even on mobile)
Chalarangelo/30-seconds-of-python
Short Python code snippets for all your development needs
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
JuanCrg90/Clean-Code-Notes
My notes of Clean Code book
Chalarangelo/30-seconds-of-react
Short React code snippets for all your development needs
shervinea/mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
benedekrozemberczki/CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
snap-stanford/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
benedekrozemberczki/ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
daiquocnguyen/Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
twjiang/graphSAGE-pytorch
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
benedekrozemberczki/GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
dgrtwo/data-screencasts
Code from live exploratory analyses of data in R
benedekrozemberczki/APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
muhanzhang/IGMC
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
THUDM/GCC
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020
gasteigerjo/ppnp
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
sunfanyunn/InfoGraph
Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)
FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
shervinea/stanford-cme-102-ordinary-differential-equations
VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers