1819 Repositories
Python Social-Network-Ads-Prediction Libraries
Learning to Segment Instances in Videos with Spatial Propagation Network
Learning to Segment Instances in Videos with Spatial Propagation Network This paper is available at the 2017 DAVIS Challenge website. Check our result
This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks
NNProject - DeepMask This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks. Th
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
Natural Posterior Network This repository provides the official implementation o
Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline
Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline. The pipeline accepts english text as input and returns the French translation.
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for customers.
Code for the paper "Generative design of breakwaters usign deep convolutional neural network as a surrogate model"
Generative design of breakwaters usign deep convolutional neural network as a surrogate model This repository contains the code for the paper "Generat
A Celery application to collect data, download media and extract information from social media APIs
Project IBEX A Celery application to collect data, download media and extract information from social media APIs. Requirements You must have a Redis D
This is a Flask web app which predicts fare of Flight ticket
Flight Fare Prediction: Table of Content Demo Overview Motivation Installation Deployement on Heroku Directory Tree Bug / Feature Request Future scope
Decision tree is the most powerful and popular tool for classification and prediction
Diabetes Prediction Using Decision Tree Introduction Decision tree is the most powerful and popular tool for classification and prediction. A Decision
This project generates news headlines using a Long Short-Term Memory (LSTM) neural network.
News Headlines Generator bunnysaini/Generate-Headlines Goal This project aims to generate news headlines using a Long Short-Term Memory (LSTM) neural
Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore
[AI6122] Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6122 of Semester 1, AY2021-2022, starting from 08/2021. The instructor of this course is Prof. Lu Shijian.
DTCN SMP Challenge - Sequential prediction learning framework and algorithm
DTCN This is the implementation of our paper "Sequential Prediction of Social Me
NuPIC Studio is an all-in-one tool that allows users create a HTM neural network from scratch
NuPIC Studio is an all-in-one tool that allows users create a HTM neural network from scratch, train it, collect statistics, and share it among the members of the community. It is not just a visualization tool but an HTM builder, debugger and laboratory for experiments. It is ideal for newbies with little intimacy with NuPIC code as well as experts that wish a better productivity. Among its features and advantages:
An curated collection of awesome resources about networking in cybersecurity
An ongoing curated collection of awesome software, libraries, frameworks, talks & videos, best practices, learning tutorials and important practical resources about networking in cybersecurity
BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python
BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python. Some of the algorithms included are mor
Perform sentiment analysis on textual data that people generally post on websites like social networks and movie review sites.
Sentiment Analyzer The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networ
Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm
Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm
IPV4 network calculation project in Python
Curso de Python 3 do Básico ao Avançado Desafio: Calculando redes IPV4 Criar um programa que obtem um numero de IP com o prefixo da mascara de rede. O
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently This repository is the official implementat
Google AI Open Images - Object Detection Track: Open Solution
Google AI Open Images - Object Detection Track: Open Solution This is an open solution to the Google AI Open Images - Object Detection Track 😃 More c
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house
This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con
AP1 Transcription Factor Binding Site Prediction
A machine learning project that predicted binding sites of AP1 transcription factor, using ChIP-Seq data and local DNA shape information.
Image Classification - A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
Open solution to the Toxic Comment Classification Challenge
Starter code: Kaggle Toxic Comment Classification Challenge More competitions 🎇 Check collection of public projects 🎁 , where you can find multiple
Predicting job salaries from ads - a Kaggle competition
Predicting job salaries from ads - a Kaggle competition
ThorFI: A Novel Approach for Network Fault Injection as a Service
ThorFI: a Novel Approach for Network Fault Injection as a Service This repo includes ThorFI, a novel fault injection solution for virtual networks in
Titanic Traveller Survivability Prediction
The aim of the mini project is predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked and more.
GNES enables large-scale index and semantic search for text-to-text, image-to-image, video-to-video and any-to-any content form
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
A curated list of efficient attention modules
awesome-fast-attention A curated list of efficient attention modules
Holehe OSINT - Email to Registered Accounts
holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.
Fantasy Points Prediction and Dream Team Formation
Fantasy-Points-Prediction-and-Dream-Team-Formation Collected Data from open source resources that have over 100 Parameters for predicting cricket play
Social Network Ads Prediction
Social network advertising, also social media targeting, is a group of terms that are used to describe forms of online advertising that focus on social networking services.
Mortality risk prediction for COVID-19 patients using XGBoost models
Mortality risk prediction for COVID-19 patients using XGBoost models Using demographic and lab test data received from the HM Hospitales in Spain, I b
TJU Deep Learning & Neural Network
Deep_Learning & Neural_Network_Lab 实验环境 Python 3.9 Anaconda3(官网下载或清华镜像都行) PyTorch 1.10.1(安装代码如下) conda install pytorch torchvision torchaudio cudatool
Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021
Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021
Based on Stockfish neural network(similar to LcZero)
MarcoEngine Marco Engine - interesnaya neyronnaya shakhmatnaya set', kotoraya ispol'zuyet metod samoobucheniya(dostizheniye khoroshoy igy putem proboy
TCNN Temporal convolutional neural network for real-time speech enhancement in the time domain
TCNN Pandey A, Wang D L. TCNN: Temporal convolutional neural network for real-time speech enhancement in the time domain[C]//ICASSP 2019-2019 IEEE Int
TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers.
TransMVSNet This repository contains the official implementation of the paper: "TransMVSNet: Global Context-aware Multi-view Stereo Network with Trans
Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers
Pose Transformers: Human Motion Prediction with Non-Autoregressive Transformers This is the repo used for human motion prediction with non-autoregress
Custom IMDB Dataset is extracted between 2020-2021 and custom distilBERT model is trained for movie success probability prediction
IMDB Success Predictor Project involves Web Scraping custom IMDB data between 2020 and 2021 of 10000 movies and shows sorted by number of votes ,fine
Predict multi paths to a moving person depending on his trajectory history.
Multi-future Trajectory Prediction The project is about using the Multiverse model to make possible multible-future trajectory prediction for a seen p
It is convenient to quickly import Python packages from the network.
It is convenient to quickly import Python packages from the network.
This Home Assistant custom component adding support for controlling Midea dehumidifiers on local network.
This custom component for Home Assistant adds support for Midea air conditioner and dehumidifier appliances via the local area network. homeassistant-
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
VIMuRe Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. If you use this code please cite this article (preprint). De
The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.
Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode
Yesitsme - Simple OSINT script to find Instagram profiles by name and e-mail/phone
Simple OSINT script to find Instagram profiles by name and e-mail/phone
Official PyTorch Implementation of paper EAN: Event Adaptive Network for Efficient Action Recognition
Official PyTorch Implementation of paper EAN: Event Adaptive Network for Efficient Action Recognition
CKD - Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
Collaborative Knowledge Distillation for Heterogeneous Information Network Embed
OneShot Learning-based hotword detection.
EfficientWord-Net Hotword detection based on one-shot learning Home assistants require special phrases called hotwords to get activated (eg:"ok google
Instant neural graphics primitives: lightning fast NeRF and more
Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a fact
Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection
Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection This material is supplementray code for paper accepted in ICDAR 2021 We h
[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.
mmTransformer Introduction This repo is official implementation for mmTransformer in pytorch. Currently, the core code of mmTransformer is implemented
Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
AgentFormer This repo contains the official implementation of our paper: AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecast
Code and Resources for the Transformer Encoder Reasoning Network (TERN)
Transformer Encoder Reasoning Network Code for the cross-modal visual-linguistic retrieval method from "Transformer Reasoning Network for Image-Text M
Official repository of "DeepMIH: Deep Invertible Network for Multiple Image Hiding", TPAMI 2022.
DeepMIH: Deep Invertible Network for Multiple Image Hiding (TPAMI 2022) This repo is the official code for DeepMIH: Deep Invertible Network for Multip
Beihang University Network Authentication Login
北航自动网络认证使用说明 主文件 gw_buaa.py # @file gw_buaa.py # @author Dong # @date 2022-01-25 # @email wangyudong@buaa.edu.cn # @brief This is a python script to l
Evolving neural network parameters in JAX.
Evolving Neural Networks in JAX This repository holds code displaying techniques for applying evolutionary network training strategies in JAX. Each sc
SMTP In some vulnerable configurations, email servers can also be aggregated Use information that gives us information about the host or network Give
SMTP In some vulnerable configurations, email servers can also be aggregated Use information that gives us information about the host or network Give. The SMTP protocol supports some basic commands such as VRFY and EXPN Slowly A VRFY request asks the server to verify an email address while Which requests an EXPN request for email list membership. These requests are The power is sometimes misused to verify the existence of a user on the email server Used by hackers later
A basic neural network for image segmentation.
Unet_erythema_detection A basic neural network for image segmentation. 前期准备 1.在logs文件夹中下载h5权重文件,百度网盘链接在logs文件夹中 2.将所有原图 放置在“/dataset_1/JPEGImages/”文件夹
Prediction of MBA refinance Index (Mortgage prepayment)
Prediction of MBA refinance Index (Mortgage prepayment) Deep Neural Network based Model The ability to predict mortgage prepayment is of critical use
[ACM MM 2021] TSA-Net: Tube Self-Attention Network for Action Quality Assessment
Tube Self-Attention Network (TSA-Net) This repository contains the PyTorch implementation for paper TSA-Net: Tube Self-Attention Network for Action Qu
Churn prediction
Churn-prediction Churn-prediction Data preprocessing:: Label encoder is used to normalize the categorical variable Data Transformation:: For each data
This repo is the official implementation for Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
1 MAGNN This repo is the official implementation for Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting. 1.1 The frame
The PyTorch implementation of paper REST: Debiased Social Recommendation via Reconstructing Exposure Strategies
REST The PyTorch implementation of paper REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. Usage Download dataset Download
A curated list of awesome Deep Learning tutorials, projects and communities.
Awesome Deep Learning Table of Contents Books Courses Videos and Lectures Papers Tutorials Researchers Websites Datasets Conferences Frameworks Tools
Collection of machine learning related notebooks to share.
ML_Notebooks Collection of machine learning related notebooks to share. Notebooks GAN_distributed_training.ipynb In this Notebook, TensorFlow's tutori
Public scripts, services, and configuration for running a smart home K3S network cluster
makerhouse_network Public scripts, services, and configuration for running MakerHouse's home network. This network supports: TODO features here For mo
Predicts an answer in yes or no.
Oui-ou-non-prediction Predicts an answer in 'yes' or 'no'. It is based on the game 'effeuiller la marguerite' in which the person plucks flower petals
Best practices for segmentation of the corporate network of any company
Best-practice-for-network-segmentation What is this? This project was created to publish the best practices for segmentation of the corporate network
🌐 Tools for Networking
🌐 Network Tools Tools for Networking This repository contains the tools needed to make networking easier. Make sure to download all of the requiremen
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation Table of Contents: Introduction Project Structure Installation Datas
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
LightNet++ !!!New Repo.!!! ⇒ EfficientNet.PyTorch: Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights !!
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation By Qiang Zhou*, Zilong Huang*, Lichao Huang, Han Shen, Yon
Reference implementation for Structured Prediction with Deep Value Networks
Deep Value Network (DVN) This code is a python reference implementation of DVNs introduced in Deep Value Networks Learn to Evaluate and Iteratively Re
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
FusionNet_Pytorch FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics Requirements Pytorch 0.1.11 Pyt
TransferNet: Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
TransferNet: Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network Created by Seunghoon Hong, Junhyuk Oh,
This project intends to use SVM supervised learning to determine whether or not an individual is diabetic given certain attributes.
Diabetes Prediction Using SVM I explore a diabetes prediction algorithm using a Diabetes dataset. Using a Support Vector Machine for my prediction alg
From Perceptron model to Deep Neural Network from scratch in Python.
Neural-Network-Basics Aim of this Repository: From Perceptron model to Deep Neural Network (from scratch) in Python. ** Currently working on a basic N
The undersampled DWI image using Slice-Interleaved Diffusion Encoding (SIDE) method can be reconstructed by the UNet network.
UNet-SIDE The undersampled DWI image using Slice-Interleaved Diffusion Encoding (SIDE) method can be reconstructed by the UNet network. For Super Reso
Most Simple & Powefull web3 Trade Bot (WINDOWS LINUX) Suport BSC ETH
Most Simple & Powefull Trade Bot (WINDOWS LINUX) What Are Some Pros And Cons Of Owning A Sniper Bot? While having a sniper bot is typically an advanta
MPViT:Multi-Path Vision Transformer for Dense Prediction
MPViT : Multi-Path Vision Transformer for Dense Prediction This repository inlcu
Spy Ad Network - Spy Ad Network Detection With Python
Spy Ad Network Spy Ad Network Detection Jumps from link to link to access a site
Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)
Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT
Stock-Prediction - prediction of stock market movements using sentiment analysis and deep learning.
Stock-Prediction- In this project, we aim to enhance the prediction of stock market movements using sentiment analysis and deep learning. We divide th
Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras
Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras which will then be used to generate residuals
Food recognition model using convolutional neural network & computer vision
Food recognition model using convolutional neural network & computer vision. The goal is to match or beat the DeepFood Research Paper
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
A Python module for the generation and training of an entry-level feedforward neural network.
ff-neural-network A Python module for the generation and training of an entry-level feedforward neural network. This repository serves as a repurposin
EchoDNS - Analyze your DNS traffic super easy, shows all requested DNS traffic
EchoDNS - Analyze your DNS traffic super easy, shows all requested DNS traffic
Atomistic Line Graph Neural Network
Table of Contents Introduction Installation Examples Pre-trained models Quick start using colab JARVIS-ALIGNN webapp Peformances on a few datasets Use
Training a Resilient Q-Network against Observational Interference, Causal Inference Q-Networks
Obs-Causal-Q-Network AAAI 2022 - Training a Resilient Q-Network against Observational Interference Preprint | Slides | Colab Demo | Environment Setup
This is RFA-Toolbox, a simple and easy-to-use library that allows you to optimize your neural network architectures using receptive field analysis (RFA) and create graph visualizations of your architecture.
ReceptiveFieldAnalysisToolbox This is RFA-Toolbox, a simple and easy-to-use library that allows you to optimize your neural network architectures usin
Equivariant GNN for the prediction of atomic multipoles up to quadrupoles.
Equivariant Graph Neural Network for Atomic Multipoles Description Repository for the Model used in the publication 'Learning Atomic Multipoles: Predi
This repo includes some graph-based CTR prediction models and other representative baselines.
Graph-based CTR prediction This is a repository designed for graph-based CTR prediction methods, it includes our graph-based CTR prediction methods: F
Predicting the duration of arrival delays for commercial flights.
Flight Delay Prediction Our objective is to predict arrival delays of commercial flights. According to the US Department of Transportation, about 21%
Socket programming is a way of connecting two nodes on a network to communicate with each other
Socket Programming in Python Socket programming is a way of connecting two nodes on a network to communicate with each other. One socket(node) listens
Source code of paper: "HRegNet: A Hierarchical Network for Efficient and Accurate Outdoor LiDAR Point Cloud Registration".
HRegNet: A Hierarchical Network for Efficient and Accurate Outdoor LiDAR Point Cloud Registration Environments The code mainly requires the following
Doge-Prediction - Coding Club prediction ig
Doge-Prediction Coding Club prediction ig Basically: Create an application that
Pcos-prediction - Predicts the likelihood of Polycystic Ovary Syndrome based on patient attributes and symptoms
PCOS Prediction 🥼 Predicts the likelihood of Polycystic Ovary Syndrome based on
A command line tool to publish ads on ebay-kleinanzeigen.de
kleinanzeigen-bot Feedback and high-quality pull requests are highly welcome! About Installation Usage Development Notes License About kleinanzeigen-b