10814 Repositories
Python generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search Libraries
Miscellaneous and lightweight network tools
Network Tools Collection of miscellaneous and lightweight network tools to simplify daily operations, administration, and troubleshooting of networks.
A set of tools for Namebase and HNS
HNS-TOOLS A set of tools for Namebase and HNS To install: pip install -r requirements.txt To run: py main.py My Namebase referral code: http://namebas
Code for paper: An Effective, Robust and Fairness-awareHate Speech Detection Framework
BiQQLSTM_HS Code and data for paper: Title: An Effective, Robust and Fairness-awareHate Speech Detection Framework. Authors: Guanyi Mou and Kyumin Lee
Data science, Data manipulation and Machine learning package.
duality Data science, Data manipulation and Machine learning package. Use permitted according to the terms of use and conditions set by the attached l
Scrapy uses Request and Response objects for crawling web sites.
Requests and Responses¶ Scrapy uses Request and Response objects for crawling web sites. Typically, Request objects are generated in the spiders and p
Tool to audit and fix Python project requirements.
Requirement Auditor Utility to revise and updated python requirement files.
STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 and 2017. The selection of datasets include text from image captions, news headlines and user forums.
stsb_multi_mt_en STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 an
In this tutorial, raster models of soil depth and soil water holding capacity for the United States will be sampled at random geographic coordinates within the state of Colorado.
Raster_Sampling_Demo (Resulting graph of this demo) Background Sampling values of a raster at specific geographic coordinates can be done with a numbe
Using a GNSS module (Beidou + GPS) and the mapquest static map API
Using a GNSS module (Beidou + GPS) and the mapquest static map API
VevestaX is an open source Python package for ML Engineers and Data Scientists.
VevestaX Track failed and successful experiments as well as features. VevestaX is an open source Python package for ML Engineers and Data Scientists.
This is python script that will extract the functions call in all used DLL in an executable and then provide a mapping of those functions to the attack classes defined and curated malapi.io.
F2Amapper This is python script that will extract the functions call in all used DLL in an executable and then provide a mapping of those functions to
A tool to analyze leveraged liquidity mining and find optimal option combination for hedging.
LP-Option-Hedging Description A Python program to analyze leveraged liquidity farming/mining and find the optimal option combination for hedging imper
A Project to resolve hostname and receive IP
hostname-resolver A Project to resolve hostname and receive IP Installation git clone https://github.com/ihapiw/hostname-resolver.git Head into the ho
Connects to a local SenseCap M1 Helium Hotspot and pulls API Data.
sensecap_api_checker_HELIUM Connects to a local SenseCap M1 Helium Hotspot and pulls API Data.
Pipeline and Dataset helpers for complex algorithm evaluation.
tpcp - Tiny Pipelines for Complex Problems A generic way to build object-oriented datasets and algorithm pipelines and tools to evaluate them pip inst
An atmospheric growth and evolution model based on the EVo degassing model and FastChem 2.0
EVolve Linking planetary mantles to atmospheric chemistry through volcanism using EVo and FastChem. Overview EVolve is a linked mantle degassing and a
Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.
SDK: Overview of the Kubeflow pipelines service Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on
Some methods for comparing network representations in deep learning and neuroscience.
Generalized Shape Metrics on Neural Representations In neuroscience and in deep learning, quantifying the (dis)similarity of neural representations ac
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
DistMIS Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation. DistriMIS Distributing Deep Learning Hyperparameter Tuning
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
Skyformer This repository is the official implementation of Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr"om Method (NeurIPS 2021).
VoxHRNet - Whole Brain Segmentation with Full Volume Neural Network
VoxHRNet This is the official implementation of the following paper: Whole Brain Segmentation with Full Volume Neural Network Yeshu Li, Jonathan Cui,
PECOS - Prediction for Enormous and Correlated Spaces
PECOS - Predictions for Enormous and Correlated Output Spaces PECOS is a versatile and modular machine learning (ML) framework for fast learning and i
This is the repository of shape matching algorithm Iterative Rotations and Assignments (IRA)
Description This is the repository of shape matching algorithm Iterative Rotations and Assignments (IRA), described in the publication [1]. Directory
A repository for generating stylized talking 3D and 3D face
style_avatar A repository for generating stylized talking 3D faces and 2D videos. This is the repository for paper Imitating Arbitrary Talking Style f
Generalized and Efficient Blackbox Optimization System.
OpenBox Doc | OpenBox中文文档 OpenBox: Generalized and Efficient Blackbox Optimization System OpenBox is an efficient and generalized blackbox optimizatio
Revealing and Protecting Labels in Distributed Training
Revealing and Protecting Labels in Distributed Training
FastCover: A Self-Supervised Learning Framework for Multi-Hop Influence Maximization in Social Networks by Anonymous.
FastCover: A Self-Supervised Learning Framework for Multi-Hop Influence Maximization in Social Networks by Anonymous.
Can we learn gradients by Hamiltonian Neural Networks?
Can we learn gradients by Hamiltonian Neural Networks? This project was carried out as part of the Optimization for Machine Learning course (CS-439) a
SW components and demos for visual kinship recognition. An emphasis is put on the FIW dataset-- data loaders, benchmarks, results in summary.
FIW Data Development Kit Table of Contents Introduction Families In the Wild Database Publications Organization To Do License Getting Involved Introdu
Framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample resolution
Sample-specific Bayesian Networks A framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample or per-patient re
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
This repository contains source code for the paper Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces a
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems This repository is the official implementation of Rever
This is the repository for Learning to Generate Piano Music With Sustain Pedals
SusPedal-Gen This is the official repository of Learning to Generate Piano Music With Sustain Pedals Demo Page Dataset The dataset used in this projec
Data and Code for paper Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph is available for research purposes.
Data and Code for paper Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph is available f
Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotlight)
Mixture Proportion Estimation and PU Learning: A Modern Approach This repository is the official implementation of Mixture Proportion Estimation and P
we propose a novel deep network, named feature aggregation and refinement network (FARNet), for the automatic detection of anatomical landmarks.
Feature Aggregation and Refinement Network for 2D Anatomical Landmark Detection Overview Localization of anatomical landmarks is essential for clinica
RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.
RMNet: Equivalently Removing Residual Connection from Networks This repository is the official implementation of "RMNet: Equivalently Removing Residua
The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".
Energy-based Conditional Generative Adversarial Network (ECGAN) This is the code for the NeurIPS 2021 paper "A Unified View of cGANs with and without
Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.
Git repositoty of the manuscript entitled Statistical quantification of confounding bias in predictive modelling by Tamas Spisak The manuscript descri
This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-grained Classification".
HA-in-Fine-Grained-Classification This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-g
Explainable Medical ImageSegmentation via GenerativeAdversarial Networks andLayer-wise Relevance Propagation
MedAI: Transparency in Medical Image Segmentation What is this repo This repo contains the code and experiments that are implemented to contribute in
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty Giorgio Cantarini, Francesca Odone, Nicoletta Noceti, Federi
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (Local-Lip)
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (Local-Lip) Introduction TL;DR: We propose an efficient and trainabl
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Constructing Neural Network-Based Models for Simulating Dynamical Systems Note this repo is work in progress prior to reviewing This is a companion re
Companion repository to the paper accepted at the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities
Transfer learning approach to bicycle sharing systems station location planning using OpenStreetMap Companion repository to the paper accepted at the
Agent-based model simulator for air quality and pandemic risk assessment in architectural spaces
Agent-based model simulation for air quality and pandemic risk assessment in architectural spaces. User Guide archABM is a fast and open source agent-
Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.
META-RS This is the companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsu
A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thing.
Realistic galaxy simulation via score-based generative models Official code for 'Realistic galaxy simulation via score-based generative models'. We us
The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualizing NFT data from OpenSea, using PostgreSQL and TimescaleDB.
Timescale NFT Starter Kit The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualiz
Privacy as Code for DSAR Orchestration: Privacy Request automation to fulfill GDPR, CCPA, and LGPD data subject requests.
Meet Fidesops: Privacy as Code for DSAR Orchestration A part of the greater Fides ecosystem. ⚡ Overview Fidesops (fee-dez-äps, combination of the Lati
toldium is a modular, fast, reliable and customizable multiplatform bot library for your communities
toldium The easy multiplatform bot toldium is a modular, fast, reliable and customizable multiplatform bot library for your communities, from a commun
Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn
Regression Metrics Installation To install the package from the PyPi repository you can execute the following command: pip install regressionmetrics I
Let's learn how to build, release and operate your containerized applications to Amazon ECS and AWS Fargate using AWS Copilot.
🚀 Welcome to AWS Copilot Workshop In this workshop, you'll learn how to build, release and operate your containerised applications to Amazon ECS and
Generative Adversarial Networks(GANs)
Generative Adversarial Networks(GANs) Vanilla GAN ClusterGAN Vanilla GAN Model Structure Final Generator Structure A MLP with 2 hidden layers of hidde
DNA Storage Simulator that analyzes and simulates DNA storage
DNA Storage Simulator This monorepository contains code for a research project by Mayank Keoliya and supervised by Djordje Jevdjic, that analyzes and
Google Drive, OneDrive and Youtube as covert-channels - Control systems remotely by uploading files to Google Drive, OneDrive, Youtube or Telegram
covert-control Control systems remotely by uploading files to Google Drive, OneDrive, Youtube or Telegram using Python to create the files and the lis
Generate malicious files using recently published homoglyphic-attack (CVE-2021-42694)
CVE-2021-42694 Generate malicious files using recently published homoglyph-attack vulnerability, which was discovered at least in C, C++, C#, Go, Pyth
Planning Algorithms in AI and Robotics. MSc course at Skoltech Data Science program
Planning Algorithms in AI and Robotics course T2 2021-22 The Planning Algorithms in AI and Robotics course at Skoltech, MS in Data Science, during T2,
Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together
SpeechMix Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together. Introduction For the same input: from datas
Set up a sidechain for the XRPL quickly and easily
Sidechain Launch Kit Introduction This directory contains python scripts to tests and explore side chains. This document walks through the steps to se
A website to list Shadowsocks proxies and check them periodically
Shadowmere An automatically tested list of Shadowsocks proxies. Motivation Collecting proxies around the internet is fun, but what if they stop workin
a simple function that randomly generates and applies console text colors
ChangeConsoleTextColour a simple function that randomly generates and applies console text colors This repository corresponds to my Python Functions f
MicroMIUI - Script to optimize miui and not only
MicroMIUI - Script to optimize miui and not only
Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectrum sensing.
Deep-Learning-based-Spectrum-Sensing Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectru
Searching info from Google using Python Scrapy
Python-Search-Engine-Scrapy || Python-爬虫-索引/利用爬虫获取谷歌信息**/ Searching info from Google using Python Scrapy /* 利用 PYTHON 爬虫获取天气信息,以及城市信息和资料**/ translatio
Converting Html files to pdf using python script, pdfkit module and wkhtmltopdf.
Html-to-pdf-pdfkit-wkhtml- This repository has code for converting local html files and online html resources into pdf. It is an python script which u
A napari plugin for visualising and interacting with electron cryotomograms
napari-subboxer A napari plugin for visualising and interacting with electron cryotomograms. Installation You can install napari-subboxer via pip: pip
These scripts look for non-printable unicode characters in all text files in a source tree
find-unicode-control These scripts look for non-printable unicode characters in all text files in a source tree. find_unicode_control.py should work w
Instant search for and access to many datasets in Pyspark.
SparkDataset Provides instant access to many datasets right from Pyspark (in Spark DataFrame structure). Drop a star if you like the project. 😃 Motiv
A python package which can be pip installed to perform statistics and visualize binomial and gaussian distributions of the dataset
GBiStat package A python package to assist programmers with data analysis. This package could be used to plot : Binomial Distribution of the dataset p
This is a script that scrapes the longitude and latitude on food.grab.com
grab This is a script that scrapes the longitude and latitude for any restaurant in Manila on food.grab.com, location can be adjusted. Search Result p
Official repository of the paper "A Variational Approximation for Analyzing the Dynamics of Panel Data". Mixed Effect Neural ODE. UAI 2021.
Official repository of the paper (UAI 2021) "A Variational Approximation for Analyzing the Dynamics of Panel Data", Mixed Effect Neural ODE. Panel dat
This is the official Pytorch implementation of the paper "Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model"
Diverse Motion Stylization (Official) This is the official Pytorch implementation of this paper. Diverse Motion Stylization for Multiple Style Domains
Malware Analysis Neural Network project.
MalanaNeuralNetwork Description Malware Analysis Neural Network project. Table of Contents Getting Started Requirements Installation Clone Set-Up VENV
Serverless demo showing users how they can capture (and obfuscate) their Lambda payloads in Datadog APM
Serverless-capture-lambda-payload-demo Serverless demo showing users how they can capture (and obfuscate) their Lambda payloads in Datadog APM This wi
Responsive Doc. scanner using U^2-Net, Textcleaner and Tesseract
Responsive Doc. scanner using U^2-Net, Textcleaner and Tesseract Toolset U^2-Net is used for background removal Textcleaner is used for image cleaning
The Simpsons and Machine Learning: What makes an Episode Great?
The Simpsons and Machine Learning: What makes an Episode Great? Check out my Medium article on this! PROBLEM: The Simpsons has had a decline in qualit
Unofficial instagram API, give you access to ALL instagram features (like, follow, upload photo and video and etc)! Write on python.
Instagram-API-python Unofficial Instagram API to give you access to ALL Instagram features (like, follow, upload photo and video, etc)! Written in Pyt
Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*
Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*. The algorithm was extremely optimal running in ~15s to ~30s for search spaces as big as 10000000 nodes where a set of 18 actions could be performed at each node in the 3D Maze.
A collection of easy-to-use, ready-to-use, interesting deep neural network models
Interesting and reproducible research works should be conserved. This repository wraps a collection of deep neural network models into a simple and un
A Lego Mindstorm robot for dealing out cards based on a birds-eye view of a poker table and given ArUco fiducial tags.
A Lego Mindstorm robot for dealing out cards based on a birds-eye view of a poker table and given ArUco fiducial tags.
Freqtrade is a free and open source crypto trading bot written in Python.
Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.
this repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here
uber-pickups-analysis Data Source: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city Information about data set The dataset contain
Distort a video using Seam Carving (video) and Vibrato effect (sound)
Distort videos Applies a Seam Carving algorithm (aka liquid rescale) on every frame of a video, and a vibrato effect on the audio to distort the video
Neural Nano-Optics for High-quality Thin Lens Imaging
Neural Nano-Optics for High-quality Thin Lens Imaging Project Page | Paper | Data Ethan Tseng, Shane Colburn, James Whitehead, Luocheng Huang, Seung-H
Unofficial implementation of the paper: PonderNet: Learning to Ponder in TensorFlow
PonderNet-TensorFlow This is an Unofficial Implementation of the paper: PonderNet: Learning to Ponder in TensorFlow. Official PyTorch Implementation:
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
ripgrep (rg) ripgrep is a line-oriented search tool that recursively searches the current directory for a regex pattern. By default, ripgrep will resp
Your self-hosted bookmark archive. Free and open source.
Your self-hosted bookmark archive. Free and open source. Contents About LinkAce Support Setup Contribution About LinkAce LinkAce is a self-hosted arch
A terminal spreadsheet multitool for discovering and arranging data
VisiData v2.6.1 A terminal interface for exploring and arranging tabular data. VisiData supports tsv, csv, sqlite, json, xlsx (Excel), hdf5, and many
Reads and prints information from the website MalAPI.io
MalAPIReader Reads and prints information from the website MalAPI.io optional arguments:
Tensorflow AffordanceNet and AffContext implementations
AffordanceNet and AffContext This is tensorflow AffordanceNet and AffContext implementations. Both are implemented and tested with tensorflow 2.3. The
Implemented shortest-circuit disambiguation, maximum probability disambiguation, HMM-based lexical annotation and BiLSTM+CRF-based named entity recognition
Implemented shortest-circuit disambiguation, maximum probability disambiguation, HMM-based lexical annotation and BiLSTM+CRF-based named entity recognition
Powerful and Async API for AnimeWorld.tv 🚀
Powerful and Async API for AnimeWorld.tv 🚀
Explaining neural decisions contrastively to alternative decisions.
Contrastive Explanations for Model Interpretability This is the repository for the paper "Contrastive Explanations for Model Interpretability", about
Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
tf-imle Tensorflow 2 and PyTorch implementation and Jupyter notebooks for Implicit Maximum Likelihood Estimation (I-MLE) proposed in the NeurIPS 2021
DiscoNet: Learning Distilled Collaboration Graph for Multi-Agent Perception [NeurIPS 2021]
DiscoNet: Learning Distilled Collaboration Graph for Multi-Agent Perception [NeurIPS 2021] Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng
A large-scale database for graph representation learning
A large-scale database for graph representation learning
Collection of emails sent from the Hungarian gov and Viktor Orbán to the citizens of Hungary
Public list of Hungary and Viktor Orbán's emails since March 2021 Collection of emails sent from the Hungarian government and Viktor Orbán to the citi
MLOps will help you to understand how to build a Continuous Integration and Continuous Delivery pipeline for an ML/AI project.
page_type languages products description sample python azure azure-machine-learning-service azure-devops Code which demonstrates how to set up and ope
Object tracking using YOLO and a tracker(KCF, MOSSE, CSRT) in openCV
Object tracking using YOLO and a tracker(KCF, MOSSE, CSRT) in openCV File YOLOv3 weight can be downloaded