1049 Repositories
Python Multidimensional-LSTM-BitCoin-Time-Series Libraries
LSTM model - IMDB review sentiment analysis
NLP - Movie review sentiment analysis The colab notebook contains the code for building a LSTM Recurrent Neural Network that gives 87-88% accuracy on
DFFNet: An IoT-perceptive Dual Feature Fusion Network for General Real-time Semantic Segmentation
DFFNet Paper DFFNet: An IoT-perceptive Dual Feature Fusion Network for General Real-time Semantic Segmentation. Xiangyan Tang, Wenxuan Tu, Keqiu Li, J
Python Random Number Genrator
This Genrates Random Numbers. This Random Number Generator was made using python. This software uses Time and Random extension. Download the EXE file and run it to get your answer.
Predicting India’s COVID-19 Third Wave with LSTM
Predicting India’s COVID-19 Third Wave with LSTM Complete project of predicting new COVID-19 cases in the next 90 days with LSTM India is seeing a ste
clustering moroccan stocks time series data using k-means with dtw (dynamic time warping)
Moroccan Stocks Clustering Context Hey! we don't always have to forecast time series am I right ? We use k-means to cluster about 70 moroccan stock pr
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
Neural Scene Flow Fields PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes", CVPR 2021 [Projec
Algorithm to solve Wordle correctly 100% of the time within 6 attempts.
WordleSolver © Zulkarnine, 2022. Algorithm to solve Wordle 100% of the time within 6 attempts. You can go ahead and run main.py to run it for all 2315
Heart Arrhythmia Classification
This program takes and input of an ECG in European Data Format (EDF) and outputs the classification for heartbeats into normal vs different types of arrhythmia . It uses a deep learning model for classification purposes.
⌚️Internet Time reference and (eventually) converter site, for planning things with your internet friends who aren't (yet) obsessed with Internet Time 😉
Internet-Ti.me Internet Time reference and (eventually) converter site, for planning things with your internet friends who aren't (yet) obsessed with
A simple multi-threaded time server and client in python.
time-server-client A simple multi-threaded time server and client in Python. This uses the latest match/case command found in Python 3.10 so requires
Using NumPy to solve the equations of fluid mechanics together with Finite Differences, explicit time stepping and Chorin's Projection methods
Computational Fluid Dynamics in Python Using NumPy to solve the equations of fluid mechanics 🌊 🌊 🌊 together with Finite Differences, explicit time
smc.covid is an R package related to the paper A sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the COVID-19 case by Storvik et al
smc.covid smc.covid is an R package related to the paper A sequential Monte Carlo approach to estimate a time varying reproduction number in infectiou
This repository contains the implementation of the HealthGen model, a generative model to synthesize realistic EHR time series data with missingness
HealthGen: Conditional EHR Time Series Generation This repository contains the implementation of the HealthGen model, a generative model to synthesize
MetaTTE: a Meta-Learning Based Travel Time Estimation Model for Multi-city Scenarios
MetaTTE: a Meta-Learning Based Travel Time Estimation Model for Multi-city Scenarios This is the official TensorFlow implementation of MetaTTE in the
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
Real-Time Seizure Detection using Electroencephalogram (EEG) This is the repository for "Real-Time Seizure Detection using EEG: A Comprehensive Compar
Answer a series of contextually-dependent questions like they may occur in natural human-to-human conversations.
SCAI-QReCC-21 [leaderboards] [registration] [forum] [contact] [SCAI] Answer a series of contextually-dependent questions like they may occur in natura
Create animated and pretty Pandas Dataframe or Pandas Series
Rich DataFrame Create animated and pretty Pandas Dataframe or Pandas Series, as shown below: Installation pip install rich-dataframe Usage Minimal exa
A simple python script that uses selenium(chrome web driver),pyautogui,time and schedule modules to enter google meets automatically
A simple python script that uses selenium(chrome web driver),pyautogui,time and schedule modules to enter google meets automatically
Instantaneous Motion Generation for Robots and Machines.
Ruckig Instantaneous Motion Generation for Robots and Machines. Ruckig generates trajectories on-the-fly, allowing robots and machines to react instan
Learning Time-Critical Responses for Interactive Character Control
Learning Time-Critical Responses for Interactive Character Control Abstract This code implements the paper Learning Time-Critical Responses for Intera
Eye-Blink-Counter - Python based Computer Vision project which counts how many time a person blinks
Eye Blink Counter OpenCV and Mediapipe No Blink Blink
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.
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
A "multiclipboards" script for an efficient way to improve the original clipboards which are only able to save one string at a time
A "multiclipboards" script for an efficient way to improve the original clipboards which are only able to save one string at a time. Works on both Windows and Linux.
The project's goal is to show a real world application of image segmentation using k means algorithm
The project's goal is to show a real world application of image segmentation using k means algorithm
This repository is all about spending some time the with the original problem posed by Minsky and Papert
This repository is all about spending some time the with the original problem posed by Minsky and Papert. Working through this problem is a great way to begin learning computer vision.
Feature engineering and machine learning: together at last
Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow with breakpoints + real-time visualization of the data flowing through the computational graph
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow (Google's Deep Learning framework) with breakpoints + real-time visualization of the data flowing through the computational graph.
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
sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code
sequitur sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code. It implements three differ
Shutdown Time - A pretty much useless application that allows you to shut your computer down in x time with a GUI.
A pretty much useless application that allows you to shut your computer down in x time with a GUI. Should eventually support Windows (all versions), Linux (v2.0+), MacOS (probably with Linux, idk)
The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance
Reinforcement Learning in Finance quats@dev Webinar This repository provides the code for the free quants@dev Webinar series about Reinforcement Learn
(ICONIP 2020) MobileHand: Real-time 3D Hand Shape and Pose Estimation from Color Image
MobileHand: Real-time 3D Hand Shape and Pose Estimation from Color Image This repo contains the source code for MobileHand, real-time estimation of 3D
A real-time speech emotion recognition application using Scikit-learn and gradio
Speech-Emotion-Recognition-App A real-time speech emotion recognition application using Scikit-learn and gradio. Requirements librosa==0.6.3 numpy sou
A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk.
Simple-Vosk A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk. Check out the official Vosk G
Bitcoin & Lightning Container Manager for facilitating development tools
Torch-cli Bitcoin & Lightning Container Manager for facilitating development too
DeepFaceLive - Live Deep Fake in python, Real-time face swap for PC streaming or video calls
DeepFaceLive - Live Deep Fake in python, Real-time face swap for PC streaming or video calls
A very minimalistic python module that lets you track the time your code snippets take to run.
Clock Keeper A very minimalistic python module that lets you track the time your code snippets take to run. This package is available on PyPI! Run the
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
Time Dependent DFT in Tamm-Dancoff Approximation
Density Function Theory Program - kspy-tddft(tda) This is an implementation of Time-Dependent Density Functional Theory(TDDFT) using the Tamm-Dancoff
HatSploit collection of generic payloads designed to provide a wide range of attacks without having to spend time writing new ones.
HatSploit collection of generic payloads designed to provide a wide range of attacks without having to spend time writing new ones.
Deep Learning for Time Series Forecasting.
nixtlats:Deep Learning for Time Series Forecasting [nikstla] (noun, nahuatl) Period of time. State-of-the-art time series forecasting for pytorch. Nix
[SDM 2022] Towards Similarity-Aware Time-Series Classification
SimTSC This is the PyTorch implementation of SDM2022 paper Towards Similarity-Aware Time-Series Classification. We propose Similarity-Aware Time-Serie
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
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
Public release of Telepathy, an OSINT toolkit for investigating Telegram groups. Enhanced features and improvements will be added over time.
Telepathy Welcome to Telepathy, an OSINT toolkit for scraping Telegram data to help investigate shady goings on. Currently, the tool is limited to scr
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js
pyhakuna is a client to access the API of the time keeping service hakuna.ch.
pyhakuna pyhakuna is a client to access the API of the time keeping service hakuna.ch. The Hakuna API is – unfortunately – personal and currently does
AirDrive lets you store unlimited files to cloud for free. Upload & download files from your personal drive at any time using its super-fast API.
AirDrive lets you store unlimited files to cloud for free. Upload & download files from your personal drive at any time using its super-fast API.
PyTorch implementation of Higher Order Recurrent Space-Time Transformer
Higher Order Recurrent Space-Time Transformer (HORST) This is the official PyTorch implementation of Higher Order Recurrent Space-Time Transformer. Th
Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
Time-aware Large Kernel (TaLK) Convolutions (Lioutas et al., 2020) This repository contains the source code, pre-trained models, as well as instructio
Dicoding Machine Learning for Expert Submission 1 - Predictive Analytics
Laporan Proyek Machine Learning - Azhar Rizki Zulma Domain Proyek Domain proyek yang dipilih dalam proyek machine learning ini adalah mengenai keuanga
Harmony, a discord clone, allows users to chat with other users in real time via servers, channels, and direct messages
Harmony, a discord clone, allows users to chat with other users in real time via servers, channels, and direct messages
Nicely is a real-time Feedback and Intervention Program Depression is a prevalent issue across all age groups, socioeconomic classes, and cultural identities.
Nicely is a real-time Feedback and Intervention Program Depression is a prevalent issue across all age groups, socioeconomic classes, and cultural identities.
Connects to an active BitCoin Peer and communicates in order to locate a specific block number (height)
BitCoin-Peer-Client Connects to an active BitCoin Peer, and locates a predetermined block number (height) by downloading block headers. Once required
This project aims at building a real-time wide band channel sounder using USRPs
RFNoC-HLS-WINLAB Bhargav Gokalgandhi [email protected] Prasanthi Maddala [email protected] Ivan Seskar [email protected]
Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equations and real world time series data
Authors Marcus Lenler Garsdal, [email protected] Valdemar Søgaard, [email protected] Simon Moe Sørensen, [email protected] Introduction This repo contains the
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
Python bot created with Selenium that can guess the daily Wordle word correct 96.8% of the time.
Wordle_Bot Python bot created with Selenium that can guess the daily Wordle word correct 96.8% of the time. It will log onto the wordle website and en
How to detect objects in real time by using Jupyter Notebook and Neural Networks , by using Yolo3
Real Time Object Recognition From your Screen Desktop . In this post, I will explain how to build a simply program to detect objects from you desktop
Create and finder all address wallet bitcoin and check balance , transaction
BTCCrackWallet Create and finder all address wallet bitcoin and check balance , transaction bitcoin wallet generator generated address wallet , public
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 !!
Project dự đoán giá cổ phiếu bằng thuật toán LSTM gồm: code train và code demo
Web predicts stock prices using Long - Short Term Memory algorithm Give me some start please!!! User interface image: Choose: DayBegin, DayEnd, Stock
Opencv-image-filters - A camera to capture videos in real time by placing filters using Python with the help of the Tkinter and OpenCV libraries
Opencv-image-filters - A camera to capture videos in real time by placing filters using Python with the help of the Tkinter and OpenCV libraries
Volta: A Virtual Assistant which increases your productivity with time as you use it…
Volta Official Documentation Overview & Purpose Volta: A Virtual Assistant which increases your productivity with time as you use it… Volta, developed
auto_code_complete is a auto word-completetion program which allows you to customize it on your need
auto_code_complete v1.3 purpose and usage auto_code_complete is a auto word-completetion program which allows you to customize it on your needs. the m
Calendar heatmaps from Pandas time series data
Note: See MarvinT/calmap for the maintained version of the project. That is also the version that gets published to PyPI and it has received several f
Bsvlib - Bitcoin SV (BSV) Python Library
bsvlib A Bitcoin SV (BSV) Python Library that is extremely simple to use but mor
Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)
Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT
Mail-Checker is a python script that lets you see your mails directly from the terminal without having to login each time.
Mail-Checker ##Mail-Checker is a python script that lets you see your mails directly from the terminal without having to login each time. ##Before you
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.
Mass-unscrobble Last.fm scrobbles based on artist, track title, or time of day of the scrobble.
Unscrobbler This program is designed to mass-unscrobble Last.fm scrobbles based on artist, track title, or time of day of the scrobble. For example, i
Practical Machine Learning with Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
A task scheduler with task scheduling, timing and task completion time tracking functions
A task scheduler with task scheduling, timing and task completion time tracking functions. Could be helpful for time management in daily life.
The official TensorFlow implementation of the paper Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
Action Transformer A Self-Attention Model for Short-Time Human Action Recognition This repository contains the official TensorFlow implementation of t
The dataset of tweets pulling from Twitters with keyword: Hydroxychloroquine, location: US, Time: 2020
HCQ_Tweet_Dataset: FREE to Download. Keywords: HCQ, hydroxychloroquine, tweet, twitter, COVID-19 This dataset is associated with the paper "Understand
[SDM 2022] Towards Similarity-Aware Time-Series Classification
SimTSC This is the PyTorch implementation of SDM2022 paper Towards Similarity-Aware Time-Series Classification. We propose Similarity-Aware Time-Serie
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
A framework for multi-step probabilistic time-series/demand forecasting models
JointDemandForecasting.py A framework for multi-step probabilistic time-series/demand forecasting models File stucture JointDemandForecasting contains
Sentinel-1 SAR time series analysis for OSINT use
SARveillance Sentinel-1 SAR time series analysis for OSINT use. Description Generates a time lapse GIF of the Sentinel-1 satellite images for the loca
Creating a python chatbot that Starbucks users can text to place an order + help cut wait time of a normal coffee.
Creating a python chatbot that Starbucks users can text to place an order + help cut wait time of a normal coffee.
Text classification on IMDB dataset using Keras and Bi-LSTM network
Text classification on IMDB dataset using Keras and Bi-LSTM Text classification on IMDB dataset using Keras and Bi-LSTM network. Usage python3 main.py
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
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Intro Real-time object detection and classification. Paper: version 1, version 2. Read more about YOLO (in darknet) and download weight files here. In
macOS development environment setup: Setting up a new developer machine can be an ad-hoc, manual, and time-consuming process.
dev-setup Motivation Setting up a new developer machine can be an ad-hoc, manual, and time-consuming process. dev-setup aims to simplify the process w
Jupyter notebook and datasets from the pandas Q&A video series
Python pandas Q&A video series Read about the series, and view all of the videos on one page: Easier data analysis in Python with pandas. Jupyter Note
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 Tensorflow 2.0
NLP-Models-Tensorflow, Gathers machine learning and tensorflow deep learning models for NLP problems, code simplify inside Jupyter Notebooks 100%. Tab
This is a simple face recognition mini project that was completed by a team of 3 members in 1 week's time
PeekingDuckling 1. Description This is an implementation of facial identification algorithm to detect and identify the faces of the 3 team members Cla
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
Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
Multi-Time Attention Networks (mTANs) This repository contains the PyTorch implementation for the paper Multi-Time Attention Networks for Irregularly
We simulate traveling back in time with a modern camera to rephotograph famous historical subjects.
[SIGGRAPH Asia 2021] Time-Travel Rephotography [Project Website] Many historical people were only ever captured by old, faded, black and white photos,
Script that allows to download data with satellite's orbit height and create CSV with their change in time.
Satellite orbit height ◾ Requirements Python = 3.8 Packages listen in reuirements.txt (run pip install -r requirements.txt) Account on Space Track ◾
Make YouTube videos tasks in Todoist faster and time efficient!
Youtubist Basically fork of yt-dlp python module to my needs. You can paste playlist or channel link on the YouTube. It will automatically format to s
PyTorch GPU implementation of the ES-RNN model for time series forecasting
Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm A GPU-enabled version of the hybrid ES-RNN model by Slawek et al that won the M4 time-series
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
Implementation of deep learning models for time series in PyTorch.
List of Implementations: Currently, the reimplementation of the DeepAR paper(DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
Fully Convlutional Neural Networks for state-of-the-art time series classification
Deep Learning for Time Series Classification As the simplest type of time series data, univariate time series provides a reasonably good starting poin
Practical Time-Series Analysis, published by Packt
Practical Time-Series Analysis This is the code repository for Practical Time-Series Analysis, published by Packt. It contains all the supporting proj
Machine Learning for Time-Series with Python.Published by Packt
Machine-Learning-for-Time-Series-with-Python Become proficient in deriving insights from time-series data and analyzing a model’s performance Links Am