264 Repositories
Python Personal-IMDB-Graphs-with-Bokeh Libraries
An open source movie recommendation WebApp build by movie buffs and mathematicians that uses cosine similarity on the backend.
Movie Pundit Find your next flick by asking the (almost) all-knowing Movie Pundit Jump to Project Source » View Demo · Report Bug · Request Feature Ta
Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Context-Aware-Healthcare Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs Download
In this project, we'll be creating a virtual personal assistant for ourselves using our favorite programming language
In this project, we'll be creating a virtual personal assistant for ourselves using our favorite programming language, Python. We can perform several offline as well as online operations using the bot.
Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.
LitMatter A template for rapid experimentation and scaling deep learning models on molecular and crystal graphs. How to use Clone this repository and
Send embeds using your discord personal account
Welcome to Embed Sender 👋 Send embeds using your discord personal account Install pip install -r requirements.txt Usage Put your discord token in ./
An official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
Augmentation-Free Self-Supervised Learning on Graphs An official source code for Augmentation-Free Self-Supervised Learning on Graphs paper, accepted
An official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
Augmentation-Free Self-Supervised Learning on Graphs An official source code for Augmentation-Free Self-Supervised Learning on Graphs paper, accepted
Encriptificator is a text editor app developed by me as a personal project.
Encriptificator is a text editor app developed by me as a personal project. It provides all basic features of a text editor with the additional feature of encrypting your files. To know more about how to use the encryption features , please read the readme file.
Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from time series data.
ts2vg: Time series to visibility graphs The Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from t
IMDb + Auto + Unlimited Filter BoT
Telegram Movie Bot Features Auto Filter Manuel Filter IMDB Admin Commands Broadcast Index IMDB search Inline Search Random pics ids and User info Stat
ESP32 recording button presses, and serving webpage that graphs the numbers over time.
ESP32-IoT-button-graph-test ESP32 recording button presses, and serving webpage via webSockets in order to graph the responses. The objective was to t
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Model This repository is the official PyTorch implementation of GraphRNN, a graph gene
Rottentomatoes, Goodreads and IMDB sites crawler. Semantic Web final project.
Crawler Rottentomatoes, Goodreads and IMDB sites crawler. Crawler written by beautifulsoup, selenium and lxml to gather books and films information an
Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
Faster R-CNN pretrained on VisualGenome This repository modifies maskrcnn-benchmark for object detection and attribute prediction on VisualGenome data
IMDb + Auto + Unlimited Filter BoT
Telegram Movie Bot Features Auto Filter Manuel Filter IMDB Admin Commands Broadcast Index IMDB search Inline Search Random pics ids and User info Stat
Statistical tests for the sequential locality of graphs
Statistical tests for the sequential locality of graphs You can assess the statistical significance of the sequential locality of an adjacency matrix
Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks.
Dynamic-Graphs-Construction Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Ne
Code for testing convergence rates of Lipschitz learning on graphs
📈 LipschitzLearningRates The code in this repository reproduces the experimental results on convergence rates for k-nearest neighbor graph infinity L
School Project using Python Sockets and Personal Encryption Method.
Python-Secure-File-Transfer School Project using Python Sockets and Personal Encryption Method. Installation Must have python3 installed on your syste
Datastructures such as linked list, trees, graphs etc
datastructures datastructures such as linked list, trees, graphs etc Made a public repository for coding enthusiasts. Those who want to collaborate on
A Bokeh project developed for learning and teaching Bokeh interactive plotting!
Bokeh-Python-Visualization A Bokeh project developed for learning and teaching Bokeh interactive plotting! See my medium blog posts about making bokeh
A set of useful perceptually uniform colormaps for plotting scientific data
Colorcet: Collection of perceptually uniform colormaps Build Status Coverage Latest dev release Latest release Docs What is it? Colorcet is a collecti
A streamlit component for bi-directional communication with bokeh plots.
Streamlit Bokeh Events A streamlit component for bi-directional communication with bokeh plots. Its just a workaround till streamlit team releases sup
PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors.
PyNNDescent PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors. It provides a python implementation of Nearest Neighbo
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
HiddenLayer A lightweight library for neural network graphs and training metrics for PyTorch, Tensorflow, and Keras. HiddenLayer is simple, easy to ex
My personal template for a discord bot, including an asynchronous database and colored logging :)
My personal template for a discord bot, including an asynchronous database and colored logging :)
Some tentative models that incorporate label propagation to graph neural networks for graph representation learning in nodes, links or graphs.
Some tentative models that incorporate label propagation to graph neural networks for graph representation learning in nodes, links or graphs.
Build Graph Nets in Tensorflow
Graph Nets library Graph Nets is DeepMind's library for building graph networks in Tensorflow and Sonnet. Contact [email protected] for comments a
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Non-Metric Space Library (NMSLIB) Important Notes NMSLIB is generic but fast, see the results of ANN benchmarks. A standalone implementation of our fa
The software associated with a paper accepted at EMNLP 2021 titled "Open Knowledge Graphs Canonicalization using Variational Autoencoders".
Open-KG-canonicalization The software associated with a paper accepted at EMNLP 2021 titled "Open Knowledge Graphs Canonicalization using Variational
A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
TADDY: Anomaly detection in dynamic graphs via transformer This repo covers an reference implementation for the paper "Anomaly detection in dynamic gr
Learning to Map Large-scale Sparse Graphs on Memristive Crossbar
Release of AutoGMap:Learning to Map Large-scale Sparse Graphs on Memristive Crossbar For reproduction of our searched model, the Ubuntu OS is recommen
Extracting knowledge graphs from language models as a diagnostic benchmark of model performance.
Interpreting Language Models Through Knowledge Graph Extraction Idea: How do we interpret what a language model learns at various stages of training?
A paper using optimal transport to solve the graph matching problem.
GOAT A paper using optimal transport to solve the graph matching problem. https://arxiv.org/abs/2111.05366 Repo structure .github: Files specifying ho
Personal Chat Assistance
Python-Programming Personal Chat Assistance {% import "bootstrap/wtf.html" as wtf %} titleEVT/title script src="https://code.jquery.com/jquery-3.
We have built a Voice based Personal Assistant for people to access files hands free in their device using natural language processing.
Voice Based Personal Assistant We have built a Voice based Personal Assistant for people to access files hands free in their device using natural lang
IMDB film review sentiment classification based on BERT's supervised learning model.
IMDB film review sentiment classification based on BERT's supervised learning model. On the other hand, the model can be extended to other natural language multi-classification tasks.
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Large Scale Learning on Non-Homophilous Graphs: New Benchmark
Personal Discord Python Bot based on Discord.py
Personal Discord bot using the discord.py library by Rapptz
Generate knowledge graphs with interesting geometries, like lattices
Geometric Graphs Generate knowledge graphs with interesting geometries, like lattices. Works on Python 3.9+ because it uses cool new features. Get out
An unofficial personal implementation of UM-Adapt, specifically to tackle joint estimation of panoptic segmentation and depth prediction for autonomous driving datasets.
Semisupervised Multitask Learning This repository is an unofficial and slightly modified implementation of UM-Adapt[1] using PyTorch. This code primar
a discord bot for searching your movies, and bot return movie url for you :)
IMDb Discord Bot how to run this bot. the first step you must create prefixes.json file the second step you must create a virtualenv if you use window
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs
Project Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs, https://arxiv.org/pdf/2111.01940.pdf. Authors Truong Son Hy
This is a personal django website for forum posts
Django Web Forum This is a personal django website for forum posts It includes login, registration and forum posts with date time. Tech / Framework us
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec This repo
Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
PPO-BiHyb This is the official implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Grap
A python script made for personal use to monitor for sports card restocks on target.com since they are sold out often
TargetProductMonitor A python script made for personal use to monitor for sports card resocks on target.com since they are sold out often. When a rest
A command line tool for visualizing CSV/spreadsheet-like data
PerfPlotter Read data from CSV files using pandas and generate interactive plots using bokeh, which can then be embedded into HTML pages and served by
Robocop is your personal mini voice assistant made using Python.
Robocop-VoiceAssistant To use this project, you should have python installed in your system. If you don't have python installed, install it beforehand
The code of paper ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs. Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu. NeurIPS 2021.
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs This is the code of paper ConE: Cone Embeddings for Multi-Hop Reasoning over Knowl
(to be released) [NeurIPS'21] Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs
Higher-Order Transformers Kim J, Oh S, Hong S, Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs, NeurIPS 2021. [arxiv] W
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Large Scale Learning on Non-Homophilous Graphs: New Benchmark
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs SMORE is a a versatile framework that scales multi-hop query emb
RIM: Reliable Influence-based Active Learning on Graphs.
RIM: Reliable Influence-based Active Learning on Graphs. This repository is the official implementation of RIM. Requirements To install requirements:
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs This is the code of paper ConE: Cone Embeddings for Multi-Hop Reasoning over Knowl
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
Implementation for the paper: Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs, Nurendra Choudhary, Nikhil Rao, Sumeet Ka
Here are my graphs for hw_02
Let's Have A Look At Some Graphs! Graph 1: State Mentions in Congressperson's Tweets on 10/01/2017 The graph below uses this data set to demonstrate h
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Graph ConvNets in PyTorch October 15, 2017 Xavier Bresson http://www.ntu.edu.sg/home/xbresson https://github.com/xbresson https://twitter.com/xbresson
wger Workout Manager is a free, open source web application that helps you manage your personal workouts, weight and diet plans and can also be used as a simple gym management utility.
wger (ˈvɛɡɐ) Workout Manager is a free, open source web application that helps you manage your personal workouts, weight and diet plans and can also be used as a simple gym management utility.
A Vietnamese personal card OCR website built with Django.
Django VietCardOCR Installation Creation of virtual environments is done by executing the command venv: python -m venv venv That will create a new fol
Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.
Machine Learning Sleep Schedule Tracker What is it? Convolutional neural network web app trained to track our infant’s sleep schedule using our Google
This repository demonstrates the usage of hover to understand and supervise a machine learning task.
Hover Example Apps (works out-of-the-box on Binder) This repository demonstrates the usage of hover to understand and supervise a machine learning tas
Generate your personal 8-bit avatars using Cellular Automata, a mathematical model that simulates life, survival, and extinction
Try the interactive demo here ✨ ✨ Sprites-as-a-Service is an open-source web application that allows you to generate custom 8-bit sprites using Cellul
MetaStalk is a tool that can be used to generate graphs from the metadata of JPEG, TIFF, and HEIC images
MetaStalk About MetaStalk is a tool that can be used to generate graphs from the metadata of JPEG, TIFF, and HEIC images, which are tested. More forma
Recommendation algorithms for large graphs
Fast recommendation algorithms for large graphs based on link analysis. License: Apache Software License Author: Emmanouil (Manios) Krasanakis Depende
Residual2Vec: Debiasing graph embedding using random graphs
Residual2Vec: Debiasing graph embedding using random graphs This repository contains the code for S. Kojaku, J. Yoon, I. Constantino, and Y.-Y. Ahn, R
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations)
Graph Neural Networks with Learnable Structural and Positional Representations Source code for the paper "Graph Neural Networks with Learnable Structu
Personal Toolbox Package
Jammy (Jam) A personal toolbox by Qsh.zh. Usage setup For core package, run pip install jammy To access functions in bin git clone https://gitlab.com/
A D3.js plugin that produces flame graphs from hierarchical data.
d3-flame-graph A D3.js plugin that produces flame graphs from hierarchical data. If you don't know what flame graphs are, check Brendan Gregg's post.
An almost dependency-less, synchronous Discord gateway library meant for my personal use
An almost dependency-less, synchronous Discord gateway library meant for my personal use.
The official PyTorch implementation for the paper "sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs".
Magnetic Graph Convolutional Networks About The official PyTorch implementation for the paper sMGC: A Complex-Valued Graph Convolutional Network via M
Leon is an open-source personal assistant who can live on your server.
Leon Your open-source personal assistant. Website :: Documentation :: Roadmap :: Contributing :: Story 👋 Introduction Leon is an open-source personal
Statistical Analysis 📈 focused on statistical analysis and exploration used on various data sets for personal and professional projects.
Statistical Analysis 📈 This repository focuses on statistical analysis and the exploration used on various data sets for personal and professional pr
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2 Status in Breast Cancer
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2 Status in Breast Cancer A novel graph neural network (GNN) based model (termed SlideGraph+
Personal IMDB Graphs with Bokeh
Personal IMDB Graphs with Bokeh Do you like watching movies and also rate all of them in IMDB? Would you like to look at your IMDB stats based on your
Claussoft Personal Digital Assistant
Claussoft Personal Digital Assistant Install on Linux $ sudo apt update $ sudo apt install espeak ffmpeg libespeak1 portaudio19-dev $ pip install -r r
Personal Assistant Tessa
Personal Assistant Tessa Introducing our all new personal assistant Tessa..... An intelligent virtual assistant (IVA) or intelligent personal assistan
Code2flow generates call graphs for dynamic programming language. Code2flow supports Python, Javascript, Ruby, and PHP.
Code2flow generates call graphs for dynamic programming language. Code2flow supports Python, Javascript, Ruby, and PHP.
This is the source code for: Context-aware Entity Typing in Knowledge Graphs.
This is the source code for: Context-aware Entity Typing in Knowledge Graphs.
Custom bot I've made to host events on my personal Discord server.
discord_events Custom bot I've made to host events on my personal Discord server. You can try the bot out in my personal server here: https://discord.
personal dotfiles for rolling release linux distros
dotfiles Screenshots: Directions: Deploy my dotfiles with yadm Packages from arch listed in .installed-packages Information on osu! see ~/Games/osu!/.
Calculates carbon footprint based on fuel mix and discharge profile at the utility selected. Can create graphs and tabular output for fuel mix based on input file of series of power drawn over a period of time.
carbon-footprint-calculator Conda distribution ~/anaconda3/bin/conda install anaconda-client conda-build ~/anaconda3/bin/conda config --set anaconda_u
A visualization of people a user follows on Twitter
Twitter-Map This software allows the user to create maps of Twitter accounts. Installation git clone [email protected]:OGreenwood672/Twitter-Map.git cd T
A minimalistic manga reader for desktop built with React and Django
smanga A minimalistic manga reader/server for serving local manga images on desktop browser. Provides a two-page view layout just as reading a physica
personal finance tracker, written in python 3 and using the wxPython GUI toolkit.
personal finance tracker, written in python 3 and using the wxPython GUI toolkit.
Implementation for the EMNLP 2021 paper "Interactive Machine Comprehension with Dynamic Knowledge Graphs".
Interactive Machine Comprehension with Dynamic Knowledge Graphs Implementation for the EMNLP 2021 paper. Dependencies apt-get -y update apt-get instal
ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representation from common sense knowledge graphs.
ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representa
ghfetch is ai customizable CLI GitHub personal README generator.
ghfetch is ai customizable CLI GitHub personal README generator. Inspired by famous fetch such as screenfetch, neofetch and ufetch, the purpose of this tool is to introduce yourself as if you were a machine.
🌈 PyTorch Implementation for EMNLP'21 Findings "Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer"
SGLKT-VisDial Pytorch Implementation for the paper: Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer Gi-Cheon Kang, Junseok P
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
About Library for extract infomation from thai personal identity card.
ThaiPersonalCardExtract Library for extract infomation from thai personal identity card. imprement from easyocr and tesseract New Feature v1.3.2 🎁 In
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
Torch-RGCN Torch-RGCN is a PyTorch implementation of the RGCN, originally proposed by Schlichtkrull et al. in Modeling Relational Data with Graph Conv
Neural Scene Graphs for Dynamic Scene (CVPR 2021)
Implementation of Neural Scene Graphs, that optimizes multiple radiance fields to represent different objects and a static scene background. Learned representations can be rendered with novel object compositions and views.
PyTorch Personal Trainer: My framework for deep learning experiments
Alex's PyTorch Personal Trainer (ptpt) (name subject to change) This repository contains my personal lightweight framework for deep learning projects
Collective Multi-type Entity Alignment Between Knowledge Graphs (WWW'20)
CG-MuAlign A reference implementation for "Collective Multi-type Entity Alignment Between Knowledge Graphs", published in WWW 2020. If you find our pa
By default, networkx has problems with drawing self-loops in graphs.
By default, networkx has problems with drawing self-loops in graphs. It makes it hard to draw a graph with self-loops or to make a nicely looking chord diagram. This repository provides some code to draw self-loops nicely
The personal repository of the work: *DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer*.
DanceNet3D The personal repository of the work: DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer. Dataset and Results Pleas
ANNchor is a python library which constructs approximate k-nearest neighbour graphs for slow metrics.
Fast k-NN graph construction for slow metrics
Official code for UnICORNN (ICML 2021)
UnICORNN (Undamped Independent Controlled Oscillatory RNN) [ICML 2021] This repository contains the implementation to reproduce the numerical experime
PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs (ConvNet-AIG) This repository contains a PyTorch implementation of the paper Convolutional Netwo