155 Repositories
Python materials-discovery Libraries
The materials used in the SaxonJS tutorial presented at Declarative Amsterdam, 2021
SaxonJS-Tutorial-2021, version 1.0.4 Last updated on 4 November, 2021. Table of contents Background Prerequisites Starting a web server Running a Java
a cool, easily usable and customisable subdomains scanner
Subdah π another subdomains scanner. Installation β οΈ Python 3.10 required β οΈ $ git clone https://github.com/traumatism/subdah $ cd subdah $ pip3 inst
This repository holds code and data for our PETS'22 article 'From "Onion Not Found" to Guard Discovery'.
From "Onion Not Found" to Guard Discovery (PETS'22) This repository holds the code and data for our PETS'22 paper titled 'From "Onion Not Found" to Gu
Drug Discovery App Using Lipinski's Rule-of-Five.
Drug Discovery App A Drug Discovery App Using Lipinski's Rule-of-Five. TAPIWA CHAMBOKO π About Me I'm a full stack developer experienced in deploying
DICexport is a GUI (PyQt5) to export digital image correlation videos
DIC Video Exporter DICexport is a GUI (PyQt5) to export digital image correlation videos. It offers the flexibility to choose a selected range of a vi
Deep generative models of 3D grids for structure-based drug discovery
What is liGAN? liGAN is a research codebase for training and evaluating deep generative models for de novo drug design based on 3D atomic density grid
aws ec2.py companion script to generate sshconfigs with auto bastion host discovery
ec2-bastion-sshconfig This script will interate over instances found by ec2.py and if those instances are not publically accessible it will search the
Contains supplementary materials for reproduce results in HMC divergence time estimation manuscript
Scalable Bayesian divergence time estimation with ratio transformations This repository contains the instructions and files to reproduce the analyses
This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled Time Series presented at Causal Analysis Workshop 2021.
signed-area-causal-inference This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled
Course Materials for Math 340
UBC Math 340 Materials This repository aims to be the one repository for which you can find everything you about Math 340. Lecture Notes Lecture Notes
Pytorch implementation of paper "Learning Co-segmentation by Segment Swapping for Retrieval and Discovery"
SegSwap Pytorch implementation of paper "Learning Co-segmentation by Segment Swapping for Retrieval and Discovery" [PDF] [Project page] If our project
This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.
TecoGAN This repository contains source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN for video super-resolution
PyChemia, Python Framework for Materials Discovery and Design
PyChemia, Python Framework for Materials Discovery and Design PyChemia is an open-source Python Library for materials structural search. The purpose o
This is the implementation of "SELF SUPERVISED REPRESENTATION LEARNING WITH DEEP CLUSTERING FOR ACOUSTIC UNIT DISCOVERY FROM RAW SPEECH" submitted to ICASSP 2022
CPC_DeepCluster This is the implementation of "SELF SUPERVISED REPRESENTATION LEARNING WITH DEEP CLUSTERING FOR ACOUSTIC UNIT DISCOVERY FROM RAW SPEEC
Supplementary materials for ISMIR 2021 LBD paper "Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes"
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes Supplementary materials for ISMIR 2021 LBD submission: K. N. W
Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)
Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)
A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery
PiSL A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery. Sun, F., Liu, Y. and Sun, H., 2021. Physics-informe
Pytorch implementation of the unsupervised object discovery method LOST.
LOST Pytorch implementation of the unsupervised object discovery method LOST. More details can be found in the paper: Localizing Objects with Self-Sup
Early days of an Asset Discovery tool.
Please star this project! Written in Python Report Bug . Request Feature DISCLAIMER This project is in its early days, everything you see here is almo
This repo contains research materials released by members of the Google Brain team in Tokyo.
Brain Tokyo Workshop π§ πΌ This repo contains research materials released by members of the Google Brain team in Tokyo. Past Projects Weight Agnostic
This application demonstrates IoTVAS device discovery and security assessment API integration with the Rapid7 InsightVM.
Introduction This repository hosts a sample application that demonstrates integrating Firmalyzer's IoTVAS API with the Rapid7 InsightVM platform. This
Python library for generating CycloneDX SBOMs
Python Library for generating CycloneDX This CycloneDX module for Python can generate valid CycloneDX bill-of-material document containing an aggregat
π Discovery Header DoD Bug-Bounty
π Discovery Header DoD Bug-Bounty Did you know that DoD accepts server headers? π² (example: apache"version" , php"version") ? In this code it is pos
Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)
A Unified Objective for Novel Class Discovery This is the official repository for the paper: A Unified Objective for Novel Class Discovery Enrico Fini
TorchDrug is a PyTorch-based machine learning toolbox designed for drug discovery
A powerful and flexible machine learning platform for drug discovery
A central task in drug discovery is searching, screening, and organizing large chemical databases
A central task in drug discovery is searching, screening, and organizing large chemical databases. Here, we implement clustering on molecular similarity. We support multiple methods to provide a interactive exploration of chemical space.
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Evidential Deep Learning for Guided Molecular Property Prediction and Discovery Ava Soleimany*, Alexander Amini*, Samuel Goldman*, Daniela Rus, Sangee
The tool helps to find hidden parameters that can be vulnerable or can reveal interesting functionality that other hunters miss.
The tool helps to find hidden parameters that can be vulnerable or can reveal interesting functionality that other hunters miss. Greater accuracy is achieved thanks to the line-by-line comparison of pages, comparison of response code and reflections.
Unsupervised Discovery of Object Radiance Fields
Unsupervised Discovery of Object Radiance Fields by Hong-Xing Yu, Leonidas J. Guibas and Jiajun Wu from Stanford University. arXiv link: https://arxiv
source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics This work will be published in Nature Biomedical
Tool for ROS 2 IP Discovery + System Monitoring
Monitor the status of computers on a network using the DDS function of ROS2.
Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).
Adaptive Segmentation Mask Attack This repository contains the implementation of the Adaptive Segmentation Mask Attack (ASMA), a targeted adversarial
This repository contains all the code and materials distributed in the 2021 Q-Programming Summer of Qode.
Q-Programming Summer of Qode This repository contains all the code and materials distributed in the Q-Programming Summer of Qode. If you want to creat
Neighborhood Contrastive Learning for Novel Class Discovery
Neighborhood Contrastive Learning for Novel Class Discovery This repository contains the official implementation of our paper: Neighborhood Contrastiv
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Ka
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'. (published in Bioinformatics'21)
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization This is the code for our paper ``SumGNN: Multi-typed Drug
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition.
TraND This is the code for the paper "Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, Xiaoping Zhang and Tao Mei: TraND: Transferable
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Unsupervised Language Modeling at scale for robust sentiment classification
** DEPRECATED ** This repo has been deprecated. Please visit Megatron-LM for our up to date Large-scale unsupervised pretraining and finetuning code.
Datamol is a python library to work with molecules
Datamol is a python library to work with molecules. It's a layer built on top of RDKit and aims to be as light as possible.
Structural basis for solubility in protein expression systems
Structural basis for solubility in protein expression systems Large-scale protein production for biotechnology and biopharmaceutical applications rely
Datamol is a python library to work with molecules.
Datamol is a python library to work with molecules. It's a layer built on top of RDKit and aims to be as light as possible.
Privacy enhanced BitTorrent client with P2P content discovery
Tribler Towards making Bittorrent anonymous and impossible to shut down. We use our own dedicated Tor-like network for anonymous torrent downloading.
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
matrixprofile-ts matrixprofile-ts is a Python 2 and 3 library for evaluating time series data using the Matrix Profile algorithms developed by the Keo
STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks
STUMPY STUMPY is a powerful and scalable library that efficiently computes something called the matrix profile, which can be used for a variety of tim
Optimising chemical reactions using machine learning
Summit Summit is a set of tools for optimising chemical processes. Weβve started by targeting reactions. What is Summit? Currently, reaction optimisat
Materials and information for my PyCascades 2021 Presentation
Materials and information for PyCascades 2021 Presentation: Sparking Creativity in LED Art with CircuitPython
A PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing"
A PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf 2021). Abstract In this work we propose Pathfind
Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.
CSE-Autoloss Designing proper loss functions for vision tasks has been a long-standing research direction to advance the capability of existing models
Web scraping library and command-line tool for text discovery and extraction (main content, metadata, comments)
trafilatura: Web scraping tool for text discovery and retrieval Description Trafilatura is a Python package and command-line tool which seamlessly dow
π The official Python client library for Google's discovery based APIs.
Google API Client This is the Python client library for Google's discovery based APIs. To get started, please see the docs folder. These client librar
An API serving data on all creatures, monsters, materials, equipment, and treasure in The Legend of Zelda: Breath of the Wild
Hyrule Compendium API An API serving data on all creatures, monsters, materials, equipment, and treasure in The Legend of Zelda: Breath of the Wild. B
π The official Python client library for Google's discovery based APIs.
Google API Client This is the Python client library for Google's discovery based APIs. To get started, please see the docs folder. These client librar
Scapy: the Python-based interactive packet manipulation program & library. Supports Python 2 & Python 3.
Scapy Scapy is a powerful Python-based interactive packet manipulation program and library. It is able to forge or decode packets of a wide number of