3619 Repositories
Python Sleep-stage-classification-using-ML-algorithms Libraries
Tools for mathematical optimization region
Tools for mathematical optimization region
Verify your Accounts by Tempphone using this Discordbot
Verify your Accounts by Tempphone using this Discordbot 5sim.net is a service, that offer you temp phonenumbers for otp verification. It include a lot
Efficient Multi Collection Style Transfer Using GAN
Proposed a new model that can make style transfer from single style image, and allow to transfer into multiple different styles in a single model.
Human Detection - Pedestrian Detection using OpenCV Python
Pedestrian Detection using OpenCV Python Follow us on Instagram for Machine Lear
Cormen-Lib - An academic tool for data structures and algorithms courses
The Cormen-lib module is an insular data structures and algorithms library based on the Thomas H. Cormen's Introduction to Algorithms Third Edition. This library was made specifically for administering and grading assignments related to data structure and algorithms in computer science.
Iss-tracker - ISS tracking script in python using NASA's API
ISS Tracker Tracking International Space Station using NASA's API and plotting i
Lambda-function - Python codes that allow notification of changes made to some services using the AWS Lambda Function
AWS Lambda Function This repository contains python codes that allow notificatio
ChatBot-Pytorch - A GPT-2 ChatBot implemented using Pytorch and Huggingface-transformers
ChatBot-Pytorch A GPT-2 ChatBot implemented using Pytorch and Huggingface-transf
Talon accessibility - Experimental Talon integrations using macOS accessibility APIs
talon_accessibility Experimental Talon integrations using macOS accessibility AP
TetrisAI - Tetris AI Bot using computer vision to play game automatically
Tetris AI Tetris AI Bot using computer vision to play game automatically bot.py
Python Projects - Few Python projects with Testing using Pytest
Python_Projects Few Python projects : Fast_API_Docker_PyTest- Just a simple auto
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
Keras Image Embeddings using Contrastive Loss
Image to Embedding projection in vector space. Implementation in keras and tensorflow of batch all triplet loss for one-shot/few-shot learning.
This is a Poetry plugin that will make it possible to build projects using custom TOML files
Poetry Multiproject Plugin This is a Poetry plugin that will make it possible to build projects using custom TOML files. This is especially useful whe
Send song lyrics to iMessage users using the Genius lyrics API
pyMessage Send song lyrics to iMessage users using the Genius lyrics API. Setup 1.) Open the main.py file, and add your API key on line 7. 2.) Install
A simple bot which using an API , detects reported discord scams and kicks the user if possible while deleting the message
A simple bot which using an API , detects reported discord scams and kicks the user if possible while deleting the message
This repository contains FEDOT - an open-source framework for automated modeling and machine learning (AutoML)
package tests docs license stats support This repository contains FEDOT - an open-source framework for automated modeling and machine learning (AutoML
ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions
ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions, in particular, the posterior distributions of Bayesian models in data science, Machine Learning, and scientific inference, with the design goal of unifying the automation (of Monte Carlo simulations), user-friendliness (of the library), accessibility (from multiple programming environments), high-performance (at runtime), and scalability (across many parallel processors).
Create charts with Python in a very similar way to creating charts using Chart.js
Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive and modular and are displayed directly in the output of the the cells of your jupyter notebook environment.
Real life contra a deep learning project built using mediapipe and openc
real-life-contra Description A python script that translates the body movement into in game control. Welcome to all new real life contra a deep learni
Face and other object detection using OpenCV and ML Yolo
Object-and-Face-Detection-Using-Yolo- Opencv and YOLO object and face detection is implemented. You only look once (YOLO) is a state-of-the-art, real-
Linux GUI app to codon optimize many single-fasta files with coding sequences , using many taxonomy ids
codon_optimize_cds_with_many_taxids_singlefasta Linux GUI app to codon optimize many single-fasta files with coding sequences, using many taxonomy ids
Solution to the first stage Quiz of Hamoye internship: Introduction to Python for Machine Learning
Author Ayanwoye, Gideon Ayandele - [email protected] SOLUTION TO HAMOYE STAGE A QUIZ INTRODUCTION TO PYTHON FOR MACHINE LEARNING The dataset is prov
Microllect - Fully automated btc wallet hack,using advanced protocols
Microllect - Fully automated btc wallet hack,using advanced protocols
Telegram Group Manager Bot Written In Python Using Pyrogram.
──「𝐂𝐡𝐢𝐤𝐚 𝐅𝐮𝐣𝐢𝐰𝐚𝐫𝐚」── Telegram Group Manager Bot Written In Python Using Pyrogram. Deploy To Heroku NOTE: I'm making this note to whoever
A program that makes all 47 textures of Optifine CTM only using 2 textures
A program that makes all 47 textures of Optifine CTM only using 2 textures
Keras Image Embeddings using Contrastive Loss
Keras-Image-Embeddings-using-Contrastive-Loss Image to Embedding projection in vector space. Implementation in keras and tensorflow for custom data. B
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
This is a learning tool and exploration app made using the Dash interactive Python framework developed by Plotly
Support Vector Machine (SVM) Explorer This app has been moved here. This repo is likely outdated and will not be updated. This is a learning tool and
Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining
**Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining.** S
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers
Sentiment Classification using WSD, Maximum Entropy & Naive Bayes Classifiers
TResNet: High Performance GPU-Dedicated Architecture
TResNet: High Performance GPU-Dedicated Architecture paperV2 | pretrained models Official PyTorch Implementation Tal Ridnik, Hussam Lawen, Asaf Noy, I
⏲️ 📙 Animedoro Timer made using tkinter in python
Animedoro Timer ⏲️ 📙 version- 1️⃣ . 0️⃣ . 0️⃣ Hey ! did you ever feel bad for not concentarting enough? , it's not you're mistake, there is a flaw in
Python script that reads Aliexpress offers urls from a Excel filename (.csv) and post then in a Telegram channel using a bot
Aliexpress to telegram post Python script that reads Aliexpress offers urls from a Excel filename (.csv) and post then in a Telegram channel using a b
Gallery of applications built using bqplot and widget libraries like ipywidgets, ipydatagrid etc.
bqplot Gallery This is a gallery of bqplot examples. View the gallery at https://bqplot.github.io/bqplot-gallery. Contributing new examples Clone this
Cereal box identification in store shelves using computer vision and a single train image per model.
Product Recognition on Store Shelves Description You can read the task description here. Report You can read and download our report here. Step A - Mu
A competition for forecasting electricity demand at the country-level using a standard backtesting framework
A competition for forecasting electricity demand at the country-level using a standard backtesting framework
In this project, we'll be making our own screen recorder in Python using some libraries.
Screen Recorder in Python Project Description: In this project, we'll be making our own screen recorder in Python using some libraries. Requirements:
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
This is a repository for a task assigned to me by Bilateral solutions!
Processing-Files-using-MySQL This is a repository for a task assigned to me by Bilateral solutions! Task: Make Folders named Processing,queue and proc
Land Cover Classification Random Forest
You can perform Land Cover Classification on Satellite Images using Random Forest and visualize the result using Earthpy package. Make sure to install the required packages and such as
LCG T-TEST USING EUCLIDEAN METHOD
This project has been created for statistical usage, purposing for determining ATL takers and nontakers using LCG ttest and Euclidean Method, especially for internal business case in Telkomsel.
Chess Game using Python
Chess Game is a single-player game where the objective is same as the original chess game. You just need to place your chess piece in a correct position. The purpose of the system is to provide some past time with your friends.
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
Some experiments with tennis player aging curves using Hilbert space GPs in PyMC. Only experimental for now.
NOTE: This is still being developed! Setup notes This document uses Jeff Sackmann's tennis data. You can obtain it as follows: git clone https://githu
This project has Classification and Clustering done Via kNN and K-Means respectfully
This project has Classification and Clustering done Via kNN and K-Means respectfully. It later tests its efficiency via F1/accuracy/recall/precision for kNN and Davies-Bouldin Index for Clustering. The Data is also visually represented.
Implementing a simplified copy of Shazam application from scratch using MinHashing and LSH.
Building Shazam from scratch In this repository we tried to implement a simplified copy of the Shazam application able to tell you the name of a song
Script to calculate Active Directory Kerberos keys (AES256 and AES128) for an account, using its plaintext password
Script to calculate Active Directory Kerberos keys (AES256 and AES128) for an account, using its plaintext password
LavaAPI - A simple library for accepting payments and using the LAVA Wallet
This library was created to simplify the LAVA api provided on the official websi
Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning
Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning My
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python
yolov5-opencv-cpp-python Example of performing inference with ultralytics YOLO V
This Deep Learning Model Predicts that from which disease you are suffering.
Deep-Learning-Project This Deep Learning Model Predicts that from which disease you are suffering. This Project Covers the Topics of Deep Learning Int
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.
It's the assignment 1 from the Python 2 course, that requires a ToDoApp with authentication using Django
It's the assignment 1 from the Python 2 course, that requires a ToDoApp with authentication using Django
Binary Classification Problem with Machine Learning
Binary Classification Problem with Machine Learning Solving Approach: 1) Ultimate Goal of the Assignment: This assignment is about solving a binary cl
Sample code helps get you started with a simple Python web service using AWS Lambda and Amazon API Gateway
Welcome to the AWS CodeStar sample web service This sample code helps get you started with a simple Python web service using AWS Lambda and Amazon API
Grover is a model for Neural Fake News -- both generation and detectio
Grover is a model for Neural Fake News -- both generation and detection. However, it probably can also be used for other generation tasks.
ECLARE: Extreme Classification with Label Graph Correlations
ECLARE ECLARE: Extreme Classification with Label Graph Correlations @InProceedings{Mittal21b, author = "Mittal, A. and Sachdeva, N. and Agrawal
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification
GalaXC GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification @InProceedings{Saini21, author = {Saini, D. and Jain,
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
PyTorch Image Classification Following papers are implemented using PyTorch. ResNet (1512.03385) ResNet-preact (1603.05027) WRN (1605.07146) DenseNet
Title: Heart-Failure-Classification
This Notebook is based off an open source dataset available on where I have created models to classify patients who can potentially witness heart failure on the basis of various parameters. The best model had an accuracy of 94% and a recall of 91%
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
Virtualdragdrop - Virtual Drag and Drop Using OpenCV and Arduino
Virtualdragdrop - Virtual Drag and Drop Using OpenCV and Arduino
PianoVisuals - Create background videos synced with piano music using opencv
Steps Record piano video Use Neural Network to do body segmentation (video matti
ColossalAI-Examples - Examples of training models with hybrid parallelism using ColossalAI
ColossalAI-Examples This repository contains examples of training models with Co
DCSync - DCSync Attack from Outside using Impacket
Adding DCSync Permissions Mostly copypasta from https://github.com/tothi/rbcd-at
Wordle-solver - A program that solves a Wordle using a simple algorithm
Wordle Solver A program that solves a Wordle using a simple algorithm. To see it
cl;asification problem using classification models in supervised learning
wine-quality-predition---classification cl;asification problem using classification models in supervised learning Wine Quality Prediction Analysis - C
This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning
This is a Cricket Score Predictor that predicts the first innings score of a T20 Cricket match using Machine Learning. It is a Web Application.
Machine Learning Techniques using python.
👋 Hi, I’m Fahad from TEXAS TECH. 👀 I’m interested in Optimization / Machine Learning/ Statistics 🌱 I’m currently learning Machine Learning and Stat
Learn Machine Learning Algorithms by doing projects in Python and R Programming Language
Learn Machine Learning Algorithms by doing projects in Python and R Programming Language. This repo covers all aspect of Machine Learning Algorithms.
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
Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest )
implementation of machine learning Algorithms such as decision tree and random forest and xgboost on darasets then compare results for each and implement ant colony and genetic algorithms on tsp map, play blackjack game and robot in grid world and evaluate reward for it
Scraper pour les offres de stage Tesla et les notes sur Oasis (Polytech Paris-Saclay) sous forme de bot Discord
Scraper pour les offres de stage Tesla et les notes sur Oasis (Polytech Paris-Saclay) sous forme de bot Discord
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
MM1 and MMC Queue Simulation using python - Results and parameters in excel and csv files
implementation of MM1 and MMC Queue on randomly generated data and evaluate simulation results then compare with analytical results and draw a plot curve for them, simulate some integrals and compare results and run monte carlo algorithm with them
An ongoing process to make a physics engine using python.
Simple_Physics_Engine An ongoing process to make a physics engine using python. I am using this goal as a way to learn python in and out. I am trying
The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach
The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach
Using DST's API with Python
A short guide on how to access Denmark's Statistics API with python, together with a helper class that facilitates the collection of data and metadata from any DST's table
Optimizing synthesizer parameters using gradient approximation
Optimizing synthesizer parameters using gradient approximation NASH 2021 Hackathon! These are some experiments I conducted during NASH 2021, the Neura
In this project, we compared Spanish BERT and Multilingual BERT in the Sentiment Analysis task.
Applying BERT Fine Tuning to Sentiment Classification on Amazon Reviews Abstract Sentiment analysis has made great progress in recent years, due to th
100 Days of Code Learning program to keep a habit of coding daily and learn things at your own pace with help from our remote community.
100 Days of Code Learning program to keep a habit of coding daily and learn things at your own pace with help from our remote community.
Gender Classification Machine Learning Model using Sk-learn in Python with 97%+ accuracy and deployment
Gender-classification This is a ML model to classify Male and Females using some physical characterstics Data. Python Libraries like Pandas,Numpy and
PanopticBEV - Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images This r
A Multipurpose bot with many Commands made using Pycord
This repo has all of the commands you will ever need in a discord bot. a Multipurpose discord bot
Python implementation of 3D facial mesh exaggeration using the techniques described in the paper: Computational Caricaturization of Surfaces.
Python implementation of 3D facial mesh exaggeration using the techniques described in the paper: Computational Caricaturization of Surfaces.
This project is an Algorithm Visualizer where a user can visualize algorithms like Bubble Sort, Merge Sort, Quick Sort, Selection Sort, Linear Search and Binary Search.
Algo_Visualizer This project is an Algorithm Visualizer where a user can visualize common algorithms like "Bubble Sort", "Merge Sort", "Quick Sort", "
Implement backup and recovery with AWS Backup across your AWS Organizations using a CI/CD pipeline (AWS CodePipeline).
Backup and Recovery with AWS Backup This repository provides you with a management and deployment solution for implementing Backup and Recovery with A
Animal Sound Classification (Cats Vrs Dogs Audio Sentiment Classification)
this is a simple artificial neural network model using deep learning and torch-audio to classify cats and dog sounds.
Port of dplyr and other related R packages in python, using pipda.
Unlike other similar packages in python that just mimic the piping syntax, datar follows the API designs from the original packages as much as possible, and is tested thoroughly with the cases from the original packages
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
[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
Predicting 10 different clothing types using Xception pre-trained model.
Predicting-Clothing-Types Predicting 10 different clothing types using Xception pre-trained model from Keras library. It is reimplemented version from
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
Detect roadway lanes using Python OpenCV for project during the 5th semester at DHBW Stuttgart for lecture in digital image processing.
Find Line Detection (Image Processing) Identifying lanes of the road is very common task that human driver performs. It's important to keep the vehicl
Cross-modal Retrieval using Transformer Encoder Reasoning Networks (TERN). With use of Metric Learning and FAISS for fast similarity search on GPU
Cross-modal Retrieval using Transformer Encoder Reasoning Networks This project reimplements the idea from "Transformer Reasoning Network for Image-Te
Using OpenAI's CLIP to upscale and enhance images
CLIP Upscaler and Enhancer Using OpenAI's CLIP to upscale and enhance images Based on nshepperd's JAX CLIP Guided Diffusion v2.4 Sample Results Viewpo
Convert shellcode generated using pe_2_shellcode to cdb format.
pe2shc-to-cdb This tool will convert shellcode generated using pe_to_shellcode to cdb format. Cdb.exe is a LOLBIN which can help evade detection & app
YouTube-Downloader - YouTube Video Downloader made using python
YouTube-Downloader YouTube Videos Downloder made using python.