18182 Repositories
Python Data-Augmentation-Using-Keras-and-Python Libraries
A simple, configurable and expandable combined shop scraper to minimize the costs of ordering several items
combined-shop-scraper A simple, configurable and expandable combined shop scraper to minimize the costs of ordering several items. Features Define an
Sheet Data Image/PDF-to-CSV Converter
Sheet Data Image/PDF-to-CSV Converter
Simplerpg - python terminal game made from scratch.
Simplerpg - python terminal game made from scratch.
Blockchain Python Implementation
Blockchain Python Implementation
A discord group chat creator just made it because i saw people selling this stuff for like up to 40 bucks
gccreator some discord group chat tools just made it because i saw people selling this stuff for like up to 40 bucks (im currently working on a faster
Pokemon game made in Python with open ended requirements from Codecademy
Pokemon game made in Python with open ended requirements from Codecademy. This is one of my first projects utilizing OOP and classes! -This game is a
Official repository for "Restormer: Efficient Transformer for High-Resolution Image Restoration". SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Restormer: Efficient Transformer for High-Resolution Image Restoration Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan,
A single model for shaping, creating, accessing, storing data within a Database
'db' within pydantic - A single model for shaping, creating, accessing, storing data within a Database Key Features Integrated Redis Caching Support A
NeurIPS 2021 Datasets and Benchmarks Track
AP-10K: A Benchmark for Animal Pose Estimation in the Wild Introduction | Updates | Overview | Download | Training Code | Key Questions | License Intr
Defi PancakeSwap bot is programmed in Python to buy and sell tokens in seconds once the target is hit.
Defi PancakeSwap BOT A BOT that will make easy your life in Trading. Watch tutorial on Youtube Table of Contents About The Project Built With Getting
AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database.
AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database. This database is completely free* 💸
Decrypting winrm traffic using password/ntlm hash
Decrypting winrm traffic using password/ntlm hash
Image classification for projects and researches
This is a tool to help you quickly solve classification problems including: data analysis, training, report results and model explanation.
Cascaded Pyramid Network (CPN) based on Keras (Tensorflow backend)
ML2 Takehome Project Reimplementing the paper: Cascaded Pyramid Network for Multi-Person Pose Estimation Dataset The model uses the COCO dataset which
ROS Basics and TurtleSim
Waypoint Follower Anna Garverick This package draws given waypoints, then waits for a service call with a start position to send the turtle to each wa
This is a Python package named - calculator
Calculator Python Package This is a Calculator Package of Python. How To Install The Package? Install calchundred with pip (Package Installer Of Pytho
A toolkit for web reconnaissance, it's fast and easy to use.
A toolkit for web reconnaissance, it's fast and easy to use. File Structure httpsuite/ main.py init.py db/ db.py init.py subdomains_db directories_db
Optimal skincare partition finder using graph theory
Pigment The problem of partitioning up a skincare regime into parts such that each part does not interfere with itself is equivalent to the minimal cl
CBLang is a programming language aiming to fix most of my problems with Python
CBLang A bad programming language made in Python. CBLang is a programming language aiming to fix most of my problems with Python (this means that you
Repository for the electrical and ICT benchmark model developed in the ERIGrid 2.0 project.
Benchmark Model Electrical and ICT System This repository contains the documentation, code, and models for the electrical and ICT benchmark model deve
A python program for visualizing MIDI files, and displaying them in a spiral layout
SpiralMusic_python A python program for visualizing MIDI files, and displaying them in a spiral layout For a hardware version using Teensy & LED displ
Stanza: A Python NLP Library for Many Human Languages
Official Stanford NLP Python Library for Many Human Languages
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble
datasketch: Big Data Looks Small datasketch gives you probabilistic data structures that can process and search very large amount of data super fast,
💬 Python scripts to parse Messenger, Hangouts, WhatsApp and Telegram chat logs into DataFrames.
Chatistics Python 3 scripts to convert chat logs from various messaging platforms into Pandas DataFrames. Can also generate histograms and word clouds
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Scripts for "Current best-practices in single-cell RNA-seq: a tutorial" This repository is complementary to the publication: M.D. Luecken, F.J. Theis,
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
Introduction ImagePy is an open source image processing framework written in Python. Its UI interface, image data structure and table data structure a
Connecting Java/ImgLib2 + Python/NumPy
imglyb imglyb aims at connecting two worlds that have been seperated for too long: Python with numpy Java with ImgLib2 imglyb uses jpype to access num
A generalist algorithm for cell and nucleus segmentation.
Cellpose | A generalist algorithm for cell and nucleus segmentation. Cellpose was written by Carsen Stringer and Marius Pachitariu. To learn about Cel
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
OpenCV on Wheels Pre-built CPU-only OpenCV packages for Python. Check the manual build section if you wish to compile the bindings from source to enab
A large-image collection explorer and fast classification tool
IMAX: Interactive Multi-image Analysis eXplorer This is an interactive tool for visualize and classify multiple images at a time. It written in Python
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
AugMix Introduction We propose AugMix, a data processing technique that mixes augmented images and enforces consistent embeddings of the augmented ima
Utilities for preprocessing text for deep learning with Keras
Note: This utility is really old and is no longer maintained. You should use keras.layers.TextVectorization instead of this. Utilities for pre-process
Hyperparameter tuning for humans
KerasTuner KerasTuner is an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search. Easily c
How to use TensorLayer
How to use TensorLayer While research in Deep Learning continues to improve the world, we use a bunch of tricks to implement algorithms with TensorLay
AutoML library for deep learning
Official Website: autokeras.com AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras
Keras implementation of AdaBound
AdaBound for Keras Keras port of AdaBound Optimizer for PyTorch, from the paper Adaptive Gradient Methods with Dynamic Bound of Learning Rate. Usage A
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX Foolbox is a Python li
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
HiddenLayer A lightweight library for neural network graphs and training metrics for PyTorch, Tensorflow, and Keras. HiddenLayer is simple, easy to ex
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. Website • Key Features • How To Use • Docs •
Python scripts for performing lane detection using the LSTR model in ONNX
ONNX LSTR Lane Detection Python scripts for performing lane detection using the Lane Shape Prediction with Transformers (LSTR) model in ONNX. Requirem
Lightweight and Modern kernel for VK Bots
This is the kernel for creating VK Bots written in Python 3.9
Pytorch implementation of 'Fingerprint Presentation Attack Detector Using Global-Local Model'
RTK-PAD This is an official pytorch implementation of 'Fingerprint Presentation Attack Detector Using Global-Local Model', which is accepted by IEEE T
A pairs trade is a market neutral trading strategy enabling traders to profit from virtually any market conditions.
A pairs trade is a market neutral trading strategy enabling traders to profit from virtually any market conditions. This strategy is categorized as a statistical arbitrage and convergence trading strategy.
Youtube Downloader by PyTube é uma ferramenta simples com interface gráfica e escrito em python para baixar vídeos e playlists do youtube...
YouTube Downloader by PyTube O que é o YouTube Downloader by PyTube? YouTube Downloader by PyTube é um software simples para baixar vídeos no YouTube
This project uses Youtube data API's to do youtube tags analysis based on viewCount, comments etc.
Youtube video details analyser Steps to run this project Please set the AuthKey which you can fetch from google developer console and paste it in the
Um sistema de Criptografia RSA feito totalmente em Python
Um sistema de Criptografia RSA feito totalmente em Python
zeus is a Python implementation of the Ensemble Slice Sampling method.
zeus is a Python implementation of the Ensemble Slice Sampling method. Fast & Robust Bayesian Inference, Efficient Markov Chain Monte Carlo (MCMC), Bl
Neural Scene Flow Fields using pytorch-lightning, with potential improvements
nsff_pl Neural Scene Flow Fields using pytorch-lightning. This repo reimplements the NSFF idea, but modifies several operations based on observation o
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
Face Recognition: Too Bias, or Not Too Bias? Robinson, Joseph P., Gennady Livitz, Yann Henon, Can Qin, Yun Fu, and Samson Timoner. "Face recognition:
Python module for performing linear regression for data with measurement errors and intrinsic scatter
Linear regression for data with measurement errors and intrinsic scatter (BCES) Python module for performing robust linear regression on (X,Y) data po
scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly.
scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly. Its main purpose is the transformation of bilinear forms into sparse matrices and linear forms into vectors.
SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker.
SageMaker Python SDK SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. With the S
Projeto: Machine Learning: Linguagens de Programacao 2004-2001
Projeto: Machine Learning: Linguagens de Programacao 2004-2001 Projeto de Data Science e Machine Learning de análise de linguagens de programação de 2
A Python step-by-step primer for Machine Learning and Optimization
early-ML Presentation General Machine Learning tutorials A Python step-by-step primer for Machine Learning and Optimization This github repository gat
Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.
Predicting Yelp Review Quality Table of Contents Introduction Motivation Goal and Central Questions The Data Data Storage and ETL EDA Data Pipeline Da
A machine learning project that predicts the price of used cars in the UK
Car Price Prediction Image Credit: AA Cars Project Overview Scraped 3000 used cars data from AA Cars website using Python and BeautifulSoup. Cleaned t
Project page for End-to-end Recovery of Human Shape and Pose
End-to-end Recovery of Human Shape and Pose Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik CVPR 2018 Project Page Requirements Pyt
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style"
Neural Style Transfer & Neural Doodles Implementation of Neural Style Transfer from the paper A Neural Algorithm of Artistic Style in Keras 2.0+ INetw
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
faceswap-GAN Adding Adversarial loss and perceptual loss (VGGface) to deepfakes'(reddit user) auto-encoder architecture. Updates Date Update 2018-08-2
Multiple implementations for abstractive text summurization , using google colab
Text Summarization models if you are able to endorse me on Arxiv, i would be more than glad https://arxiv.org/auth/endorse?x=FRBB89 thanks This repo i
NLP and Text Generation Experiments in TensorFlow 2.x / 1.x
Code has been run on Google Colab, thanks Google for providing computational resources Contents Natural Language Processing(自然语言处理) Text Classificati
TensorFlow code and pre-trained models for BERT
BERT ***** New March 11th, 2020: Smaller BERT Models ***** This is a release of 24 smaller BERT models (English only, uncased, trained with WordPiece
Deep learning for NLP crash course at ABBYY.
Deep NLP Course at ABBYY Deep learning for NLP crash course at ABBYY. Suggested textbook: Neural Network Methods in Natural Language Processing by Yoa
Deep Learning tutorials in jupyter notebooks.
DeepSchool.io Sign up here for Udemy Course on Machine Learning (Use code DEEPSCHOOL-MARCH to get 85% off course). Goals Make Deep Learning easier (mi
nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch
nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch. Most of the models in NLP were implemented with less than 100 lines of code.(except comments or blank lines)
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
MIT Deep Learning This repository is a collection of tutorials for MIT Deep Learning courses. More added as courses progress. Tutorial: Deep Learning
TensorFlow Tutorials with YouTube Videos
TensorFlow Tutorials Original repository on GitHub Original author is Magnus Erik Hvass Pedersen Introduction These tutorials are intended for beginne
Python solutions to solve practical business problems.
Python Business Analytics Also instead of "watching" you can join the link-letter, it's already being sent out to about 90 people and you are free to
Python Data Science Handbook: full text in Jupyter Notebooks
Python Data Science Handbook This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks. How to Use th
Fcpy: A Python package for high performance, fast convergence and high precision numerical fractional calculus computing.
Fcpy: A Python package for high performance, fast convergence and high precision numerical fractional calculus computing.
This is a a CSMA/CA simulator written in Python based on simulator of the same type
This is a a CSMA/CA simulator written in Python based on simulator of the same type found the link https://github.com/StevenSLXie/CSMA-Simulator with
Design and build a wrapper for the Open Weather API current weather data service
Design and build a wrapper for the Open Weather API current weather data service that returns a city's temperature, with caching, also allowing for the temperature of the latest queried cities that are still validly cached to be retrieved.
Command line tool for interacting and testing warehouse components
Warehouse debug CLI Example usage for Zumo debugging See all messages queued and handled. Enable by compiling the zumo-controller with -DDEBUG_MODE_EN
Discord webhook spammer with proxy support and proxy scraper
Discord webhook spammer with proxy support and proxy scraper
A playable version of Chess – classic two-player, various AI levels, and the crazyhouse variant! Written in Python 3
A playable version of Chess – classic two-player, various AI levels, and the crazyhouse variant! Written in Python 3. Requires the installation of PIL/Pillow and Requests
using STGCN to achieve egg classification task
EEG Classification The task requires us to classify electroencephalography(EEG) into six categories, including human body, human face, animal body,
Script para controlar o movimento do mouse usando Python e openCV com câmera em tempo real que detecta pontos de referência da mão, rastreia padrões de gestos em vez de um mouse físico.
mouserController Script para controlar o movimento do mouse usando Python e openCV com câmera em tempo real que detecta pontos de referência da mão, r
Transpiler for Excel formula like language to Python. Support script and module mode
Transpiler for Excel formula like language to Python. Support script and module mode (formulas are functions).
A Discord Bot - has a few commands. Built using python - Discord.py - RIP.
Discord_Bot A Discord Bot has been built here. It is capable of running a few commands. The below present screenshot should suffice in terms of explai
Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors
By Investors, For Investors. Want to read this in Chinese? Click here Empyrial is a Python-based open-source quantitative investment library dedicated
Clinica is a software platform for clinical research studies involving patients with neurological and psychiatric diseases and the acquisition of multimodal data
Clinica Software platform for clinical neuroimaging studies Homepage | Documentation | Paper | Forum | See also: AD-ML, AD-DL ClinicaDL About The Proj
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
What is DeepHyper? DeepHyper is a software package that uses learning, optimization, and parallel computing to automate the design and development of
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
Automatic Parallel Parking: Path Planning, Path Tracking & Control This repository contains a python implementation of an automatic parallel parking s
MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.
Front-end View Backend View Table of Contents Description Prerequisites Running Basic Information Measurements User Interface Feedback and usage Descr
Python Automated Machine Learning library for tabular data.
Simple but powerful Automated Machine Learning library for tabular data. It uses efficient in-memory SAP HANA algorithms to automate routine Data Scie
Biterm Topic Model (BTM): modeling topics in short texts
Biterm Topic Model Bitermplus implements Biterm topic model for short texts introduced by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng. Actua
K-Means clusternig example with Python and Scikit-learn
Unsupervised-Machine-Learning Flat Clustering K-Means clusternig example with Python and Scikit-learn Flat clustering Clustering algorithms group a se
Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface
pyRiemann pyRiemann is a python package for covariance matrices manipulation and classification through Riemannian geometry. The primary target is cla
A desktop GUI providing an audio interface for GPT3.
Jabberwocky neil_degrasse_tyson_with_audio.mp4 Project Description This GUI provides an audio interface to GPT-3. My main goal was to provide a conven
Poupool is an overflow swimming pool control software
Poupool - The swimming pool controller Poupool is a swimming pool control software. It is based on Transitions, Pykka and Paho MQTT. The user interfac
Data Version Control or DVC is an open-source tool for data science and machine learning projects
Continuous Machine Learning project integration with DVC Data Version Control or DVC is an open-source tool for data science and machine learning proj
Binary LSTM model for text classification
Text Classification The purpose of this repository is to create a neural network model of NLP with deep learning for binary classification of texts re
A music recommendation REST API which makes a machine learning algorithm work with the Django REST Framework
music-recommender-rest-api A music recommendation REST API which makes a machine learning algorithm work with the Django REST Framework How it works T
A machine learning model for analyzing text for user sentiment and determine whether its a positive, neutral, or negative review.
Sentiment Analysis on Yelp's Dataset Author: Roberto Sanchez, Talent Path: D1 Group Docker Deployment: Deployment of this application can be found her
Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.
Trading Tesla with Machine Learning and Sentiment Analysis An interactive program to train a Random Forest Classifier to predict Tesla daily prices us
Use unsupervised and supervised learning to predict stocks
AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n
Introducing neural networks to predict stock prices
IntroNeuralNetworks in Python: A Template Project IntroNeuralNetworks is a project that introduces neural networks and illustrates an example of how o
This is a Machine Learning model which predicts the presence of Diabetes in Patients
Diabetes Disease Prediction This is a machine Learning mode which tries to determine if a person has a diabetes or not. Data The dataset is in comma s
Apply different text recognition services to images of handwritten documents.
Handprint The Handwritten Page Recognition Test is a command-line program that invokes HTR (handwritten text recognition) services on images of docume
AI-powered literature discovery and review engine for medical/scientific papers
AI-powered literature discovery and review engine for medical/scientific papers paperai is an AI-powered literature discovery and review engine for me