689 Repositories
Python NFT-Price-Prediction-CNN Libraries
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.
A collection of python scripts which help you programatically create PNGs or GIFs
A collection of python scripts which help you programatically create PNGs or GIFs and their Metadata in bulk with custom rarity rates, upload them to OpenSea & list them for sale.
A deep neural networks for images using CNN algorithm.
Example-CNN-Project This is a simple project showing how to implement deep neural networks using CNN algorithm. The dataset is taken from this link: h
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
To prepare an image processing model to classify the type of disaster based on the image dataset
Disaster Classificiation using CNNs bunnysaini/Disaster-Classificiation Goal To prepare an image processing model to classify the type of disaster bas
DTCN SMP Challenge - Sequential prediction learning framework and algorithm
DTCN This is the implementation of our paper "Sequential Prediction of Social Me
Semi-hash-based Image Generator
pixel-planet Semi-hash-based Image Generator Utilizable for NFTs Generation Process Input is salted and hashed Colors (background, planet, stars) are
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
Shopee Scraper - A web scraper in python that extract sales, price, avaliable stock, location and more of a given seller in Brazil
Shopee Scraper A web scraper in python that extract sales, price, avaliable stock, location and more of a given seller in Brazil. The project was crea
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
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.
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
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
A CNN model to detect hand gestures.
Software Used python - programming language used, tested on v3.8 miniconda - for managing virtual environment Libraries Used opencv - pip install open
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
Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"
Pytorch Implementation of Augmenting Convolutional networks with attention-based aggregation This is the unofficial PyTorch Implementation of "Augment
In this Notebook I've build some machine-learning and deep-learning to classify corona virus tweets, in both multi class classification and binary classification.
Hello, This Notebook Contains Example of Corona Virus Tweets Multi Class Classification. - Classes is: Extremely Positive, Positive, Extremely Negativ
Irenedao-nft-generator - Original scripts used to generate IreneDAO NFTs
IreneDAO NFT Generator Scripts to generate IreneDAO NFT. Make sure you have Pill
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
A web scraper which checks price of a product regularly and sends price alerts by email if price reduces.
Amazon-Web-Scarper Created a web scraper using simple functions to check price of a product on amazon (can be duplicated to check price at other marke
[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
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
This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.
Vietnamese sign lagnuage recognition using MHI and CNN This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm
Churn prediction
Churn-prediction Churn-prediction Data preprocessing:: Label encoder is used to normalize the categorical variable Data Transformation:: For each data
💰 An Alfred Workflow that provides current price of cryptocurrency
Coin Ticker for Alfred Workflow An Alfred Workflow that provides current price and status about cryptocurrency from cryptocompare.com. Supports Alfred
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
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
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
The final project of "Applying AI to 3D Medical Imaging Data" from "AI for Healthcare" nanodegree - Udacity.
Quantifying Hippocampus Volume for Alzheimer's Progression Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder that result
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
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
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.
The code succinctly shows how our ensemble learning based on deep learning CNN is used for LAM-avulsion-diagnosis.
deep-learning-LAM-avulsion-diagnosis The code succinctly shows how our ensemble learning based on deep learning CNN is used for LAM-avulsion-diagnosis
This repo contains a small project i've done using PILLOW module in python
This repo contains a small project i've done using PILLOW module in python. I wrote an automated script which generates more than 5k+ unique nfts with 0 hassle in less time.
RP2 is a privacy-focused, free, open-source US cryptocurrency tax calculator
Privacy-focused, free, open-source cryptocurrency US tax calculator, up to date for 2021: it handles multiple coins/exchanges and computes long/short-term capital gains, cost bases, in/out lot relationships, and account balances. It supports FIFO and LIFO and it generates output in form 8949 format. It has a programmable plugin architecture.
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
Microservice to extract structured information on EVM smart contracts.
Contract Serializer Microservice to extract structured information on EVM smart contract. Why? Modern NFT contracts may have different names for getPr
Unofficial Tensorflow Implementation of ConvNeXt from A ConvNet for the 2020s
Tensorflow Implementation of "A ConvNet for the 2020s" This is the unofficial Tensorflow Implementation of ConvNeXt from "A ConvNet for the 2020s" pap
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
NFT collection generator. Generates layered images
NFT collection generator Generates layered images, whole collections. Provides additional functionality. Repository includes three scripts generate.py
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%
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
OpenSea-Python-Bot - OpenSea Python Bot can be used in 2 modes
OpenSea-Python-Bot OpenSea Python Bot can be used in 2 modes. When --nft paramet
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
TensorFlow Tutorial - used by Nvidia Learn TensorFlow from scratch by examples and visualizations with interactive jupyter notebooks. Learn to compete
I explore rock vs. mine prediction using a SONAR dataset
I explore rock vs. mine prediction using a SONAR dataset. Using a Logistic Regression Model for my prediction algorithm, I intend on predicting what an object is based on supervised learning.
Quickly, simply, and asynchronously download NFT's from an Opensea collection
iRightClick Quickly, simply, and asynchronously download NFT's from an Opensea collection. NOTICE This tool is not developed to encourage or facilitat
This is a calculator of strike price distance for options.
Calculator-of-strike-price-distance-for-options This is a calculator of strike price distance for options. Options are a type of derivative. One strat
PytoPrice is an automation program to fetch the latest price of a cryptocurrency of your choice at a user-customizable update interval.
PyToPrice (Python Crypto Price) PytoPrice is an automation program to fetch the latest price of a cryptocurrency of your choice at a user-customizable
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks arXiv preprint: https://arxiv.org/abs/2201.02143. Architec
R-package accompanying the paper "Dynamic Factor Model for Functional Time Series: Identification, Estimation, and Prediction"
dffm The goal of dffm is to provide functionality to apply the methods developed in the paper “Dynamic Factor Model for Functional Time Series: Identi
Google Brain - Ventilator Pressure Prediction
Google Brain - Ventilator Pressure Prediction https://www.kaggle.com/c/ventilator-pressure-prediction The ventilator data used in this competition was
Two predictive attributes (Speed and Angle) and one attribute target (Power)
Two predictive attributes (Speed and Angle) and one attribute target (Power). A container crane has the function of transporting containers from one point to another point. The difficulty of this task lies in the fact that the container is connected to the bridge crane by cables causing an opening angle while the container is being transported, interfering with the operation at high speeds due to oscillation that occurs at the end point, which could cause accidents.
A curated list for getting up to speed on crypto and decentralized networks
crypto reading list A curated list for getting up to speed on crypto and decentralized networks. The content on the toplevel page contains what we con
A High-Quality Real Time Upscaler for Anime Video
Anime4K Anime4K is a set of open-source, high-quality real-time anime upscaling/denoising algorithms that can be implemented in any programming langua
Housing Price Prediction Using Machine Learning.
HOUSING PRICE PREDICTION USING MACHINE LEARNING DESCRIPTION Housing Price Prediction Using Machine Learning is to predict the data of housings. Here I
Research into Forex price prediction from price history using Deep Sequence Modeling with Stacked LSTMs.
Forex Data Prediction via Recurrent Neural Network Deep Sequence Modeling Research Paper Our research paper can be viewed here Installation Clone the
Using machine learning to predict undergrad college admissions.
College-Prediction Project- Overview: Many have tried, many have failed. Few trailblazers are ambitious enought to chase acceptance into the top 15 un
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wav
WTTE-RNN a framework for churn and time to event prediction
WTTE-RNN Weibull Time To Event Recurrent Neural Network A less hacky machine-learning framework for churn- and time to event prediction. Forecasting p
Predicting Price of house by considering ,house age, Distance from public transport
House-Price-Prediction Predicting Price of house by considering ,house age, Distance from public transport, No of convenient stores around house etc..
Software Engineer Salary Prediction
Based on 2021 stack overflow data, this machine learning web application helps one predict the salary based on years of experience, level of education and the country they work in.
Datasets, tools, and benchmarks for representation learning of code.
The CodeSearchNet challenge has been concluded We would like to thank all participants for their submissions and we hope that this challenge provided
List of papers, code and experiments using deep learning for time series forecasting
Deep Learning Time Series Forecasting List of state of the art papers focus on deep learning and resources, code and experiments using deep learning f
Hide screen when boss is approaching.
BossSensor Hide your screen when your boss is approaching. Demo The boss stands up. He is approaching. When he is approaching, the program fetches fac
Official implementation for the paper: Generating Smooth Pose Sequences for Diverse Human Motion Prediction
Generating Smooth Pose Sequences for Diverse Human Motion Prediction This is official implementation for the paper Generating Smooth Pose Sequences fo
Bitcoin-chance-wheel - Try your luck at getting bitcoins
Program Features - ✍️ Why did we name this tool the Lucky Wheel? - ✍️ This tool
[Fullversion]Web3 Pancakeswap Sniper bot written in python3.
🚀 Pancakeswap BSC Sniper Bot 🚀 Web3 Pancakeswap Sniper && Take Profit/StopLose bot written in python3, Please note the license conditions! The secon
python 93% acc. CNN Dogs Vs Cats ( Pytorch )
English | 简体中文(测试中...敬请期待) Cnn-Classification-Dog-Vs-Cat 猫狗辨别 (pytorch版本) CNN Resnet18 的猫狗分类器,基于ResNet及其变体网路系列,对于一般的图像识别任务表现优异,模型精准度高达93%(小型样本)。 项目制作于
Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning
Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning
Sunflower-farmers-automated-bot - Sunflower Farmers NFT Game automated bot.IT IS NOT a cheat or hack bot
Sunflower-farmers-auto-bot Sunflower Farmers NFT Game automated bot.IT IS NOT a
SOLSEA-NFT-EXPLORE - Using Streamlit to build a simple UI on top of the Solana API
SOLSEA NFT Explorer Using Streamlit to build a simple UI on top of the Solana AP
Neural network for stock price prediction
neural_network_for_stock_price_prediction Neural networks for stock price predic
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
bottom-up-attention This code implements a bottom-up attention model, based on multi-gpu training of Faster R-CNN with ResNet-101, using object and at
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
One Pixel Attack How simple is it to cause a deep neural network to misclassify an image if an attacker is only allowed to modify the color of one pix
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales
IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales. In this case, we ended up using XGBoost because it was the one with a higher score and less overfitting.
Software for quick purchase of mystery boxes on Binance.
english | русский язык Software for quick purchase of mystery boxes on Binance. Purpose Installation & setup Motivation Specification Disclaimer Purpo
Iris prediction model is used to classify iris species created julia's DecisionTree, DataFrames, JLD2, PlotlyJS and Statistics packages.
Iris Species Predictor Iris prediction is used to classify iris species using their sepal length, sepal width, petal length and petal width created us
This code is 3d-CNN model that can predict environmental value
Predict-environmental-value-3dCNN This code is 3d-CNN model that can predict environmental value. Firstly, I built a model that can create a lot of bu
NLP techniques such as named entity recognition, sentiment analysis, topic modeling, text classification with Python to predict sentiment and rating of drug from user reviews.
This file contains the following documents sumbited for Baruch CIS9665 group 9 fall 2021. 1. Dataset: drug_reviews.csv 2. python codes for text classi
Serve TensorFlow ML models with TF-Serving and then create a Streamlit UI to use them
TensorFlow Serving + Streamlit! ✨ 🖼️ Serve TensorFlow ML models with TF-Serving and then create a Streamlit UI to use them! This is a pretty simple S
Py-price-monitoring - A Python price monitor
A Python price monitor This project was focused on Brazil, so the monitoring is
Pancakeswap Sniper Bot GUI Uniswap Matic 2022 (WINDOWS LINUX MAC) AUTO BUY TOKEN ON LAUNCH AFTER ADD LIQUIDITY
Pancakeswap Sniper Bot GUI Uniswap Matic 2022 (WINDOWS LINUX MAC) ⭐️ AUTO BUY TOKEN ON LAUNCH AFTER ADD LIQUIDITY ⭐️ ⭐️ First GUI SNIPER BOT for WINDO
DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems.
Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures Dataset: https://s3.amazonaws.com/fast-ai-nlp/yelp_review_polar
Code for CVPR2019 Towards Natural and Accurate Future Motion Prediction of Humans and Animals
Motion prediction with Hierarchical Motion Recurrent Network Introduction This work concerns motion prediction of articulate objects such as human, fi
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability PCACE is a new algorithm for ranking neurons in a CNN architecture in order
This repository provides some of the code implemented and the data used for the work proposed in "A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems".
cluster-link-prediction This repository provides some of the code implemented and the data used for the work proposed in "A Cluster-Based Trip Predict
NFT-Image-Generator - Utility to generate a large collection of unique images
NFT-Image-Generator Utility for creating a generative art collection from suppli
CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
CoMoGAN: Continuous Model-guided Image-to-Image Translation Official repository. Paper CoMoGAN: continuous model-guided image-to-image translation [ar