1738 Repositories
Python network-visualization Libraries
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Contents Local and Global GAN Cross-View Image Translation Semantic Image Synthesis Acknowledgments Related Projects Citation Contributions Collaborat
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
SelectionGAN for Guided Image-to-Image Translation CVPR Paper | Extended Paper | Guided-I2I-Translation-Papers Citation If you use this code for your
A distributed block-based data storage and compute engine
Nebula is an extremely-fast end-to-end interactive big data analytics solution. Nebula is designed as a high-performance columnar data storage and tabular OLAP engine.
The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations This is the authors' implementation of Unsupervised Adversarial Learning of
3D HourGlass Networks for Human Pose Estimation Through Videos
3D-HourGlass-Network 3D CNN Based Hourglass Network for Human Pose Estimation (3D Human Pose) from videos. This was my summer'18 research project. Dis
Training PyTorch models with differential privacy
Opacus is a library that enables training PyTorch models with differential privacy. It supports training with minimal code changes required on the cli
A deep learning network built with TensorFlow and Keras to classify gender and estimate age.
Convolutional Neural Network (CNN). This repository contains a source code of a deep learning network built with TensorFlow and Keras to classify gend
DaProfiler allows you to get emails, social medias, adresses, works and more on your target using web scraping and google dorking techniques
DaProfiler allows you to get emails, social medias, adresses, works and more on your target using web scraping and google dorking techniques, based in France Only. The particularity of this program is its ability to find your target's e-mail adresses.
I hacked my own webcam from a Kali Linux VM in my local network, using Ettercap to do the MiTM ARP poisoning attack, sniffing with Wireshark, and using metasploit
plan I - Linux Fundamentals Les utilisateurs et les droits Installer des programmes avec apt-get Surveiller l'activité du système Exécuter des program
PyTorch implementation of Deep HDR Imaging via A Non-Local Network (TIP 2020).
NHDRRNet-PyTorch This is the PyTorch implementation of Deep HDR Imaging via A Non-Local Network (TIP 2020). 0. Differences between Original Paper and
Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring
Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring
Standardized plots and visualizations in Python
Standardized plots and visualizations in Python pltviz is a Python package for standardized visualization. Routine and novel plotting approaches are f
Political elections, appointment, analysis and visualization in Python
Political elections, appointment, analysis and visualization in Python poli-sci-kit is a Python package for political science appointment and election
Functions for easily making publication-quality figures with matplotlib.
Data-viz utils 📈 Functions for data visualization in matplotlib 📚 API Can be installed using pip install dvu and then imported with import dvu. You
Codes for building and training the neural network model described in Domain-informed neural networks for interaction localization within astroparticle experiments.
Domain-informed Neural Networks Codes for building and training the neural network model described in Domain-informed neural networks for interaction
Ensembling Off-the-shelf Models for GAN Training
Vision-aided GAN video (3m) | website | paper Can the collective knowledge from a large bank of pretrained vision models be leveraged to improve GAN t
This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting Project Page | YouTube | Paper This is the official PyTorch implementation of the C
A small game I made back in think 2011
Navi Network A small game I made back in think 2011. An online game inspired by the self-hosted nature of Minecraft, made with pygame, based on the Me
This Home Assistant custom component adds support for controlling Midea dehumidiferes on local network.
This is a custom component for Home assistant that adds support for Midea dehumidifier appliances via the local area network. midea-dehumidifier-lan H
Ensembling Off-the-shelf Models for GAN Training
Data-Efficient GANs with DiffAugment project | paper | datasets | video | slides Generated using only 100 images of Obama, grumpy cats, pandas, the Br
Automate the case review on legal case documents and find the most critical cases using network analysis
Automation on Legal Court Cases Review This project is to automate the case review on legal case documents and find the most critical cases using netw
A Persistent Embedded Graph Database for Python
Cog - Embedded Graph Database for Python cogdb.io New release: 2.0.5! Installing Cog pip install cogdb Cog is a persistent embedded graph database im
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
About The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficien
Make scripted visualizations in blender
Scripted visualizations in blender The goal of this project is to script 3D scientific visualizations using blender. To achieve this, we aim to bring
Interactive chemical viewer for 2D structures of small molecules
👀 mols2grid mols2grid is an interactive chemical viewer for 2D structures of small molecules, based on RDKit. ➡️ Try the demo notebook on Google Cola
Using pytorch to implement unet network for liver image segmentation.
Using pytorch to implement unet network for liver image segmentation.
A simple Neural Network that predicts the label for a series of handwritten digits
Neural_Network A simple Neural Network that predicts the label for a series of handwritten numbers This program tries to predict the label (1,2,3 etc.
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
FNet: Mixing Tokens with Fourier Transforms Pytorch implementation of Fnet : Mixing Tokens with Fourier Transforms. Citation: @misc{leethorp2021fnet,
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
NeuralPDE NeuralPDE.jl is a solver package which consists of neural network solvers for partial differential equations using scientific machine learni
PyContinual (An Easy and Extendible Framework for Continual Learning)
PyContinual (An Easy and Extendible Framework for Continual Learning) Easy to Use You can sumply change the baseline, backbone and task, and then read
An implementation of quantum convolutional neural network with MindQuantum. Huawei, classifying MNIST dataset
关于实现的一点说明 山东大学 2020级 苏博南 www.subonan.com 文件说明 tools.py 这里面主要有两个函数: resize(a, lenb) 这其实是我找同学写的一个小算法hhh。给出一个$28\times 28$的方阵a,返回一个$lenb\times lenb$的方阵。因
Quickly visualize docker networks with graphviz.
Docker Network Graph Visualize the relationship between Docker networks and containers as a neat graphviz graph. Example Usage usage: docker-net-graph
High performance, editable, stylable datagrids in jupyter and jupyterlab
An ipywidgets wrapper of regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pan
A foreign language learning aid using a neural network to predict probability of translating foreign words
Langy Langy is a reading-focused foreign language learning aid orientated towards young children. Reading is an activity that every child knows. It is
TRACER: Extreme Attention Guided Salient Object Tracing Network implementation in PyTorch
TRACER: Extreme Attention Guided Salient Object Tracing Network This paper was accepted at AAAI 2022 SA poster session. Datasets All datasets are avai
Clustergram - Visualization and diagnostics for cluster analysis in Python
Clustergram Visualization and diagnostics for cluster analysis Clustergram is a diagram proposed by Matthias Schonlau in his paper The clustergram: A
Internal network honeypot for detecting if an attacker or insider threat scans your network for log4j CVE-2021-44228
log4j-honeypot-flask Internal network honeypot for detecting if an attacker or insider threat scans your network for log4j CVE-2021-44228 This can be
A real-time financial data streaming pipeline and visualization platform using Apache Kafka, Cassandra, and Bokeh.
Realtime Financial Market Data Visualization and Analysis Introduction This repo shows my project about real-time stock data pipeline. All the code is
Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images
Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images This repository contains the implementation of the following paper
The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"
SHGNN: Structure-Aware Heterogeneous Graph Neural Network The source code and dataset of the paper: SHGNN: Structure-Aware Heterogeneous Graph Neural
Some code of the implements of Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network
3D-GMPDCNN Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network PyTorch implementation of "Geological Modeling Usin
yt is an open-source, permissively-licensed Python library for analyzing and visualizing volumetric data.
The yt Project yt is an open-source, permissively-licensed Python library for analyzing and visualizing volumetric data. yt supports structured, varia
Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn
Clustering Clustering Application in Python Using scikit-learn This repository contains the prediction of baseball metric clusters using MLB Statcast
Twin-deep neural network for semi-supervised learning of materials properties
Deep Semi-Supervised Teacher-Student Material Synthesizability Prediction Citation: Semi-supervised teacher-student deep neural network for materials
Centroid-UNet is deep neural network model to detect centroids from satellite images.
Centroid UNet - Locating Object Centroids in Aerial/Serial Images Introduction Centroid-UNet is deep neural network model to detect centroids from Aer
gACSON software for visualization, processing and analysis of three-dimensional electron microscopy images
gACSON gACSON software is to visualize, segment, and analyze the morphology of neurons in three-dimensional electron microscopy images. If you use any
Realtime Web Apps and Dashboards for Python and R
H2O Wave Realtime Web Apps and Dashboards for Python and R New! R Language API Build and control Wave dashboards using R! New! Easily integrate AI/ML
Easily configurable, chart dashboards from any arbitrary API endpoint. JSON config only
Flask JSONDash Easily configurable, chart dashboards from any arbitrary API endpoint. JSON config only. Ready to go. This project is a flask blueprint
Event-driven networking engine written in Python.
Twisted For information on changes in this release, see the NEWS file. What is this? Twisted is an event-based framework for internet applications, su
Impacket is a collection of Python classes for working with network protocols.
What is Impacket? Impacket is a collection of Python classes for working with network protocols. Impacket is focused on providing low-level programmat
A network address manipulation library for Python
netaddr A system-independent network address manipulation library for Python 2.7 and 3.5+. (Python 2.7 and 3.5 support is deprecated). Provides suppor
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Men
Network Compression via Central Filter
Network Compression via Central Filter Environments The code has been tested in the following environments: Python 3.8 PyTorch 1.8.1 cuda 10.2 torchsu
A PyTorch library and evaluation platform for end-to-end compression research
CompressAI CompressAI (compress-ay) is a PyTorch library and evaluation platform for end-to-end compression research. CompressAI currently provides: c
A part of HyRiver software stack for accessing hydrology data through web services
Package Description Status PyNHD Navigate and subset NHDPlus (MR and HR) using web services Py3DEP Access topographic data through National Map's 3DEP
Multi-vendor library to simplify CLI connections to network devices
Netmiko Multi-vendor library to simplify CLI connections to network devices Why Netmiko? Network automation to screen-scraping devices is primarily co
Synthetic Data Generation for tabular, relational and time series data.
An Open Source Project from the Data to AI Lab, at MIT Website: https://sdv.dev Documentation: https://sdv.dev/SDV User Guides Developer Guides Github
`charts.css.py` brings `charts.css` to Python. Online documentation and samples is available at the link below.
charts.css.py charts.css.py provides a python API to convert your 2-dimension data lists into html snippet, which will be rendered into charts by CSS,
A dashboard built using Plotly-Dash for interactive visualization of Dex-connected individuals across the country.
Dashboard For The DexConnect Platform of Dexterity Global Working prototype submission for internship at Dexterity Global Group. Dashboard for real ti
A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece.
COVID-19-Greece A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece. Data sources Data provided by Johns Hopki
GTK and Python based, system performance and usage monitoring tool
System Monitoring Center GTK3 and Python 3 based, system performance and usage monitoring tool. Features: Detailed system performance and usage usage
Code for ShadeGAN (NeurIPS2021) A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis Project Page | Paper A Shading-Guided Generative Implicit Model
Implementation of Heterogeneous Graph Attention Network
HetGAN Implementation of Heterogeneous Graph Attention Network This is the code repository of paper "Prediction of Metro Ridership During the COVID-19
Create 3d loss surface visualizations, with optimizer path. Issues welcome!
MLVTK A loss surface visualization tool Simple feed-forward network trained on chess data, using elu activation and Adam optimizer Simple feed-forward
apysc is the Python frontend library to create html and js file, that has ActionScript 3 (as3)-like interface.
apysc apysc is the Python frontend library to create HTML and js files, that has ActionScript 3 (as3)-like interface. Notes: Currently developing and
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution
DRSAN A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution Karam Park, Jae Woong Soh, and Nam Ik Cho Environments U
The source code for Adaptive Kernel Graph Neural Network at AAAI2022
AKGNN The source code for Adaptive Kernel Graph Neural Network at AAAI2022. Please cite our paper if you think our work is helpful to you: @inproceedi
Official implementation of "A Shared Representation for Photorealistic Driving Simulators" in PyTorch.
A Shared Representation for Photorealistic Driving Simulators The official code for the paper: "A Shared Representation for Photorealistic Driving Sim
A concise grammar of interactive graphics, built on Vega.
Vega-Lite Vega-Lite provides a higher-level grammar for visual analysis that generates complete Vega specifications. You can find more details, docume
Grammar of Scalable Linked Interactive Nucleotide Graphics
Gosling.js Gosling.js is a declarative grammar for interactive (epi)genomics visualization on the Web. ⚠️ Please be aware that the grammar of Gosling.
A declarative (epi)genomics visualization library for Python
gos is a declarative (epi)genomics visualization library for Python. It is built on top of the Gosling JSON specification, providing a simplified interface for authoring interactive genomic visualizations.
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
Torch-template-for-deep-learning Pytorch implementations of some **classical backbone CNNs, data enhancement, torch loss, attention, visualization and
A modular application for performing anomaly detection in networks
Deep-Learning-Models-for-Network-Annomaly-Detection The modular app consists for mainly three annomaly detection algorithms. The system supports model
Interactive Visualization to empower domain experts to align ML model behaviors with their knowledge.
An interactive visualization system designed to helps domain experts responsibly edit Generalized Additive Models (GAMs). For more information, check
Codes for the compilation and visualization examples to the HIF vegetation dataset
High-impedance vegetation fault dataset This repository contains the codes that compile the "Vegetation Conduction Ignition Test Report" data, which a
Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021.
NL-CSNet-Pytorch Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021. Note: this repo only shows the strategy of
Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems
Bayesian Deep Learning for Manufacturing 2.0 (dlmfg) Object Shape Error Response (OSER) Digital Lifecycle Management - In Process Quality Improvement
Unofficial implementation of "Coordinate Attention for Efficient Mobile Network Design"
Unofficial implementation of "Coordinate Attention for Efficient Mobile Network Design". CoordAttention tensorflow slim
Send files to your friends over network! (100mb max)
PyServed v2.0.1 Made by Shaurya Pratap Singh Installation Using pip(for stable releases.) - $ pip install pyserved Using Git (for latest updates) -
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
Generative Handwriting Demo using TensorFlow An attempt to implement the random handwriting generation portion of Alex Graves' paper. See my blog post
The Simplest DCGAN Implementation
DCGAN in TensorLayer This is the TensorLayer implementation of Deep Convolutional Generative Adversarial Networks. Looking for Text to Image Synthesis
Unsupervised Image to Image Translation with Generative Adversarial Networks
Unsupervised Image to Image Translation with Generative Adversarial Networks Paper: Unsupervised Image to Image Translation with Generative Adversaria
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
DAGAN This is the official implementation code for DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruct
Neural Network to colorize grayscale images
#colornet Neural Network to colorize grayscale images Results Grayscale Prediction Ground Truth Eiji K used colornet for anime colorization Sources Au
Convolutional Neural Network for Text Classification in Tensorflow
This code belongs to the "Implementing a CNN for Text Classification in Tensorflow" blog post. It is slightly simplified implementation of Kim's Convo
End-To-End Memory Network using Tensorflow
MemN2N Implementation of End-To-End Memory Networks with sklearn-like interface using Tensorflow. Tasks are from the bAbl dataset. Get Started git clo
CNN visualization tool in TensorFlow
tf_cnnvis A blog post describing the library: https://medium.com/@falaktheoptimist/want-to-look-inside-your-cnn-we-have-just-the-right-tool-for-you-ad
Spatial Transformer Nets in TensorFlow/ TensorLayer
MOVED TO HERE Spatial Transformer Networks Spatial Transformer Networks (STN) is a dynamic mechanism that produces transformations of input images (or
Lip Reading - Cross Audio-Visual Recognition using 3D Convolutional Neural Networks
Lip Reading - Cross Audio-Visual Recognition using 3D Convolutional Neural Networks - Official Project Page This repository contains the code develope
Classify music genre from a 10 second sound stream using a Neural Network.
MusicGenreClassification Academic research in the field of Deep Learning (Deep Neural Networks) and Sound Processing, Tel Aviv University. Featured in
🗺 General purpose U-Network implemented in Keras for image segmentation
TF-Unet General purpose U-Network implemented in Keras for image segmentation Getting started • Training • Evaluation Getting started Looking for Jupy
Real-time object detection on Android using the YOLO network with TensorFlow
TensorFlow YOLO object detection on Android Source project android-yolo is the first implementation of YOLO for TensorFlow on an Android device. It is
The implementation of the paper "A Deep Feature Aggregation Network for Accurate Indoor Camera Localization".
A Deep Feature Aggregation Network for Accurate Indoor Camera Localization This is the PyTorch implementation of our paper "A Deep Feature Aggregation
Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets.
Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets.
Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021.
NL-CSNet-Pytorch Pytorch code for paper "Image Compressed Sensing Using Non-local Neural Network" TMM 2021. Note: this repo only shows the strategy of
Global-Local Context Network for Person Search
Global-Local Context Network for Person Search Abstract: Person search aims to jointly localize and identify a query person from natural, uncropped im
Data Visualizer Web-Application
Viz-It Data Visualizer Web-Application If I ask you where most of the data wrangler looses their time ? It is Data Overview and EDA. Presenting "Viz-I
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
Graph Posterior Network This is the official code repository to the paper Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classifica
Official pytorch code for SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal
SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal This is the official pytorch code for SSAT: A Symmetric Semantic-