10095 Repositories
Python Data-Analytics-on-Genomes-and-Genetics Libraries
An app that mirrors your phone to your compute and maps controller input to the screen
What is 'Dragalia Control'? An app that mirrors your phone to your compute and maps controller input to the screen. Inputs are mapped specifically for
Building a Robust IOT device which is customizable, encrypted, secure and user friendly
Building a Robust IOT device which is customizable, encrypted, secure and user friendly, which uses a single GPIO pin to extract multiple sensor values
Weird Sort-and-Compress Thing
Weird Sort-and-Compress Thing A weird integer sorting + compression algorithm inspired by a conversation with Luthingx (it probably already exists by
Google scholar share - Simple python script to pull Google Scholar data from an author's profile
google_scholar_share Simple python script to pull Google Scholar data from an au
SeCl - A really easy to deploy and use made-on Flask API to manage your files remotely from Terminal
SeCl SeCl it's a really easy to deploy and use made-on Flask API to manage your
RetinaNet-PyTorch - A RetinaNet Pytorch Implementation on remote sensing images and has the similar mAP result with RetinaNet in MMdetection
🚀 RetinaNet Horizontal Detector Based PyTorch This is a horizontal detector Ret
Zotero2Readwise - A Python Library to retrieve annotations and notes from Zotero and upload them to your Readwise
Zotero ➡️ Readwise zotero2readwise is a Python library that retrieves all Zotero
Splore - a simple graphical interface for scrolling through and exploring data sets of molecules
Scroll through and exPLORE molecule sets The splore framework aims to offer a si
Quantifiers and Negations in RE Documents
Quantifiers-and-Negations-in-RE-Documents This project was part of my work for a
Picot - A discord bot made to fetch images from Pexels and unsplash API and provide raw images directly in channels
Picot A discord bot made to fetch images from Pexels and unsplash API and provid
Test - Python project for Collection Server and API Server
QProjectPython Collection Server 와 API Server 를 위한 Python 프로젝트 입니다. [FastAPI참고]
Autoencoder - Reducing the Dimensionality of Data with Neural Network
autoencoder Implementation of the Reducing the Dimensionality of Data with Neural Network – G. E. Hinton and R. R. Salakhutdinov paper. Notes Aim to m
Deeprl - Standard DQN and dueling network for simple games
DeepRL This code implements the standard deep Q-learning and dueling network with experience replay (memory buffer) for playing simple games. DQN algo
OverFeat is a Convolutional Network-based image classifier and feature extractor.
OverFeat OverFeat is a Convolutional Network-based image classifier and feature extractor. OverFeat was trained on the ImageNet dataset and participat
Show-attend-and-tell - TensorFlow Implementation of "Show, Attend and Tell"
Show, Attend and Tell Update (December 2, 2016) TensorFlow implementation of Show, Attend and Tell: Neural Image Caption Generation with Visual Attent
Deep-Learning-Image-Captioning - Implementing convolutional and recurrent neural networks in Keras to generate sentence descriptions of images
Deep Learning - Image Captioning with Convolutional and Recurrent Neural Nets ========================================================================
Image captioning - Tensorflow implementation of Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Introduction This neural system for image captioning is roughly based on the paper "Show, Attend and Tell: Neural Image Caption Generation with Visual
DeepSpeech - Easy-to-use Speech Toolkit including SOTA ASR pipeline, influential TTS with text frontend and End-to-End Speech Simultaneous Translation.
(简体中文|English) Quick Start | Documents | Models List PaddleSpeech is an open-source toolkit on PaddlePaddle platform for a variety of critical tasks i
Preprossing-loan-data-with-NumPy - In this project, I have cleaned and pre-processed the loan data that belongs to an affiliate bank based in the United States.
Preprossing-loan-data-with-NumPy In this project, I have cleaned and pre-processed the loan data that belongs to an affiliate bank based in the United
Iowa Project - My second project done at General Assembly, focused on feature engineering and understanding Linear Regression as a concept
Project 2 - Ames Housing Data and Kaggle Challenge PROBLEM STATEMENT Inferring or Predicting? What's more valuable for a housing model? When creating
Path tracing obj - (taichi course final project) a path tracing renderer that can import and render obj files
Path tracing obj - (taichi course final project) a path tracing renderer that can import and render obj files
Imports VZD (Latvian State Land Service) open data into postgis enabled database
Python script main.py downloads and imports Latvian addresses into PostgreSQL database. Data contains parishes, counties, cities, towns, and streets.
Hw-ci - Hardware CD/CI and Development Container
Hardware CI & Dev Containter These containers were created for my personal hardware development projects and courses duing my undergraduate degree. Pl
NLP-Project - Used an API to scrape 2000 reddit posts, then used NLP analysis and created a classification model to mixed succcess
Project 3: Web APIs & NLP Problem Statement How do r/Libertarian and r/Neoliberal differ on Biden post-inaguration? The goal of the project is to see
Covid-ml-predictors - COVID predictions using AI.
COVID Predictions This repo contains ML models to be trained on COVID-19 data from the UK, sourced off of Kaggle here. This uses many different ML mod
Twitter-Sentiment-Analysis - Analysis of twitter posts' positive and negative score.
Twitter-Sentiment-Analysis The hands-on project is in Python 3 Programming class offered by University of Michigan via Coursera. The task is to build
OMDB-and-TasteDive-Mashup - Mashing up data from two different APIs to make movie recommendations.
OMDB-and-TasteDive-Mashup This hadns-on project is in the Python 3 Programming Specialization offered by University of Michigan via Coursera. Mashing
SAT Project - The first project I had done at General Assembly, performed EDA, data cleaning and created data visualizations
Project 1: Standardized Test Analysis by Adam Klesc Overview This project covers: Basic statistics and probability Many Python programming concepts Pr
NFT-Price-Prediction-CNN - Using visual feature extraction, prices of NFTs are predicted via CNN (Alexnet and Resnet) architectures.
NFT-Price-Prediction-CNN - Using visual feature extraction, prices of NFTs are predicted via CNN (Alexnet and Resnet) architectures.
Automatically generates a TypeQL script for doing entity and relationship insertions from a .csv file, so you don't have to mess with writing TypeQL.
Automatically generates a TypeQL script for doing entity and relationship insertions from a .csv file, so you don't have to mess with writing TypeQL.
Pacman-AI - AI project designed by UC Berkeley. Designed reflex and minimax agents for the game Pacman.
Pacman AI Jussi Doherty CAP 4601 - Introduction to Artificial Intelligence - Fall 2020 Python version 3.0+ Source of this project This repo contains a
Web-scraping - A bot using Python with BeautifulSoup that scraps IRS website by form number and returns the results as json
Web-scraping - A bot using Python with BeautifulSoup that scraps IRS website (prior form publication) by form number and returns the results as json. It provides the option to download pdfs over a range of years.
Speckle-free Holography with Partially Coherent Light Sources and Camera-in-the-loop Calibration
Speckle-free Holography with Partially Coherent Light Sources and Camera-in-the-loop Calibration Project Page | Paper Yifan Peng*, Suyeon Choi*, Jongh
FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS
FaceAPI AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using
Churn-Prediction-Project - In this project, a churn prediction model is developed for a private bank as a term project for Data Mining class.
Churn-Prediction-Project In this project, a churn prediction model is developed for a private bank as a term project for Data Mining class. Project in
Both social media sentiment and stock market data are crucial for stock price prediction
Relating-Social-Media-to-Stock-Movement-Public - We explore the application of Machine Learning for predicting the return of the stock by using the information of stock returns. A trading strategy based on this analysis leads to increased trading profits up to three times compared with a simple buy and hold strategy.
Data Analytics: Modeling and Studying data relating to climate change and adoption of electric vehicles
Correlation-Study-Climate-Change-EV-Adoption Data Analytics: Modeling and Studying data relating to climate change and adoption of electric vehicles I
PenguinSpeciesPredictionML - Basic model to predict Penguin species based on beak size and sex.
Penguin Species Prediction (ML) 🐧 👨🏽💻 What? 💻 This project is a basic model using sklearn methods to predict Penguin species based on beak size
A web-based analysis toolkit for the System Usability Scale providing calculation, plotting, interpretation and contextualization utility
System Usability Scale Analysis Toolkit The System Usability Scale (SUS) Analysis Toolkit is a web-based python application that provides a compilatio
Python library to prevent XSS(cross site scripting attach) by removing harmful content from data.
A tool for removing malicious content from input data before saving data into database. It takes input containing HTML with XSS scripts and returns va
Trackthis - This library can be used to track USPS and UPS shipments.
Trackthis - This library can be used to track USPS and UPS shipments. It has the option of returning the raw API response, or optionally, it can be used to standardize the USPS and UPS responses so they are easier to work with.
Doods2 - API for detecting objects in images and video streams using Tensorflow
DOODS2 - Return of DOODS Dedicated Open Object Detection Service - Yes, it's a b
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetu
Recursive-Bucket-Sort - An efficient sorting algorithm (implemented in Python) inspired by the Bucket Sort and the Pigeonhole Sort
Recursive Bucket Sorting Algorithm An algorithm (implemented here in Python) mai
Markov bot - A Writing bot based on Markov Chain for Data Structure Lab
基于马尔可夫链的写作机器人 前端 用html/css完成 Demo展示(已给出文本的相应展示) 用户提供相关的语料库后训练的成果 后端 要完成的几个接口 解析文
Vinetrimmer-DRM-TOOL - Widevine DRM downloader and decrypter for AMZN|NF|STAN And all
🍃 ✂️ Vinetrimmer Widevine DRM downloader and decrypter. Thanks to wvleaks for t
DataVisualization - The evolution of my arduino and python journey. New level of competence achieved
DataVisualization - The evolution of my arduino and python journey. New level of competence achieved
Control-Raspberry-Pi-Robot-using-Hand-Gestures - A 4WD Robot car based on Raspberry Pi that controlled by hand gestures(using openCV and mediapipe)
Control-Raspberry-Pi-Robot-using-Hand-Gestures you can see all details about thi
Get-countries-info - A python code that fetches data of any country
Country-info A python code getting countries information including country's map
Augmented CLIP - Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.
Train aug_clip against laion400m-embeddings found here: https://laion.ai/laion-400-open-dataset/ - note that this used the base ViT-B/32 CLIP model. S
NasirKhusraw - The TSP solved using genetic algorithm and show TSP path overlaid on a map of the Iran provinces & their capitals.
Nasir Khusraw : Travelling Salesman Problem The TSP solved using genetic algorithm. This project show TSP path overlaid on a map of the Iran provinces
Telop - Encode and decode messages using an interpretation of the telegraphic code devised by José María Mathé
telop Telop (TELégrafoÓPtico) - Utilidad para codificar y descodificar mensajes de texto empleando una interpretación del código telegráfico ideado po
XlvnsScriptTool - Tool for decompilation and compilation of scripts .SDT from the visual novel's engine xlvns
XlvnsScriptTool English Dual languaged (rus+eng) tool for decompiling and compiling (actually, this tool is more than just (dis)assenbler, but less th
Ascify-Art - An easy to use, GUI based and user-friendly colored ASCII art generator from images!
Ascify-Art This is a python based colored ASCII art generator for free! How to Install? You can download and use the python version if you want, modul
Pydocstringformatter - A tool to automatically format Python docstrings that tries to follow recommendations from PEP 8 and PEP 257.
Pydocstringformatter A tool to automatically format Python docstrings that tries to follow recommendations from PEP 8 and PEP 257. See What it does fo
Ffmpeg videostream - High speed video frame access in Python, using FFmpeg and FFshow
FFmpeg VideoStream High speed video frame access in Python, using FFmpeg and FFshow This script requires: Karl Kroening's 'ffmpeg-python' library. (ht
Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control
Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control.
TrainingBike - Code, models and schematics I've used to interface my stationary training bike with PC.
TrainingBike Code, models and schematics I've used to interface my stationary training bike with PC. You can find more information about the project i
Png-to-stl - Converts PNG and text to SVG, and then extrudes that based on parameters
have ansible installed locally run ansible-playbook setup_application.yml this sets up directories, installs system packages, and sets up python envir
BasicNeuralNetwork - This project looks over the basic structure of a neural network and how machine learning training algorithms work
BasicNeuralNetwork - This project looks over the basic structure of a neural network and how machine learning training algorithms work. For this project, I used the sigmoid function as an activation function along with stochastic gradient descent to adjust the weights and biases.
Djangoblog - A blogging platform built on Django and Python.
djangoblog 👨💻 A blogging platform built on Django and Python
Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly
Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly Problem: 2 peloton users were looking for a way to track their metri
TB Set color display - Add-on for Blender to set multiple objects and material Display Color at once.
TB_Set_color_display Add-on for Blender with operations to transfer name between object, data, materials and action names Set groups of object's or ma
Acc-Data-Gen - Allows you to generate a password, e-mail & token for your Minecraft Account
Acc-Data-Gen Allows you to generate a password, e-mail & token for your Minecraft Account How to use the generator: Move all the files in a single dir
Web interface for browsing, search and filtering recent arxiv submissions
Web interface for browsing, search and filtering recent arxiv submissions
Awesome-google-colab - Google Colaboratory Notebooks and Repositories
Unofficial Google Colaboratory Notebook and Repository Gallery Please contact me to take over and revamp this repo (it gets around 30k views and 200k
Practical-statistics-for-data-scientists - Code repository for O'Reilly book
Code repository Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, and Peter Gedeck Pub
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Osmnx-examples - Usage examples, demos, and tutorials for OSMnx.
OSMnx Examples OSMnx is a Python package to work with street networks and other spatial data from OpenStreetMap: retrieve, model, analyze, and visuali
Pytorch-3dunet - 3D U-Net model for volumetric semantic segmentation written in pytorch
pytorch-3dunet PyTorch implementation 3D U-Net and its variants: Standard 3D U-Net based on 3D U-Net: Learning Dense Volumetric Segmentation from Spar
Data-science-on-gcp - Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
data-science-on-gcp Source code accompanying book: Data Science on the Google Cloud Platform, 2nd Edition Valliappa Lakshmanan O'Reilly, Jan 2022 Bran
Awesome-AI-books - Some awesome AI related books and pdfs for learning and downloading
Awesome AI books Some awesome AI related books and pdfs for downloading and learning. Preface This repo only used for learning, do not use in business
🕵 Artificial Intelligence for social control of public administration
Non-tech crash course into Operação Serenata de Amor Tech crash course into Operação Serenata de Amor Contributing with code and tech skills Supportin
Awesome Graph Classification - A collection of important graph embedding, classification and representation learning papers with implementations.
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers
Tautulli - A Python based monitoring and tracking tool for Plex Media Server.
Tautulli A python based web application for monitoring, analytics and notifications for Plex Media Server. This project is based on code from Headphon
Present - A terminal-based presentation tool with colors and effects.
present A terminal-based presentation tool with colors and effects. You can also play a codio (pre-recorded code block) on a slide. present is built o
Ntfy - 🖥️📱🔔 A utility for sending notifications, on demand and when commands finish.
About ntfy ntfy brings notification to your shell. It can automatically provide desktop notifications when long running commands finish or it can send
Research - dataset and code for 2016 paper Learning a Driving Simulator
the people's comma the paper Learning a Driving Simulator the comma.ai driving dataset 7 and a quarter hours of largely highway driving. Enough to tra
Dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
AutoGluon: AutoML for Text, Image, and Tabular Data
AutoML for Text, Image, and Tabular Data AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in yo
Imutils - A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
imutils A series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, and displ
PySOT - SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
PySOT is a software system designed by SenseTime Video Intelligence Research team. It implements state-of-the-art single object tracking algorit
Usbkill - an anti-forensic kill-switch that waits for a change on your USB ports and then immediately shuts down your computer.
Usbkill - an anti-forensic kill-switch that waits for a change on your USB ports and then immediately shuts down your computer.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Please read the blog post that goes with this code! Jupyter Notebook Setup System Requirements: Python, pip (Optional) virtualenv To start the Jupyter
When traveling in the backcountry during winter time, updating yourself on current and recent weather data is important to understand likely avalanche danger.
Weather Data When traveling in the backcountry during winter time, updating yourself on current and recent weather data is important to understand lik
Blankly - 🚀 💸 Trade stocks, cryptos, and forex w/ one package. Easily build, backtest, trade, and deploy across exchanges in a few lines of code.
💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀 View Docs · Our Website · Join Our Newsletter · Getting Started Why B
Yet another googlesearch - A Python library for executing intelligent, realistic-looking, and tunable Google searches.
yagooglesearch - Yet another googlesearch Overview yagooglesearch is a Python library for executing intelligent, realistic-looking, and tunable Google
Doing bayesian data analysis - Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Doing_bayesian_data_analysis This repository contains the Python version of the R programs described in the great book Doing bayesian data analysis (f
Coursera - Quiz & Assignment of Coursera
Coursera Assignments This repository is aimed to help Coursera learners who have difficulties in their learning process. The quiz and programming home
Hitchhikers-guide - The Hitchhiker's Guide to Data Science for Social Good
Welcome to the Hitchhiker's Guide to Data Science for Social Good. What is the Data Science for Social Good Fellowship? The Data Science for Social Go
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai
Coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
PyTorch-Multi-Style-Transfer - Neural Style and MSG-Net
PyTorch-Style-Transfer This repo provides PyTorch Implementation of MSG-Net (ours) and Neural Style (Gatys et al. CVPR 2016), which has been included
Speech-Emotion-Analyzer - The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Speech Emotion Analyzer The idea behind creating this project was to build a machine learning model that could detect emotions from the speech we have
Py4fi2nd - Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Python for Finance (2nd ed., O'Reilly) This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Mastering Dat
Sigma coding youtube - This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Sigma Coding Tutorials & Resources YouTube • Facebook Support Sigma Coding Patreon • GitHub Sponsor • Shop Amazon Table of Contents Overview Topics Re
Aws-machine-learning-university-accelerated-tab - Machine Learning University: Accelerated Tabular Data Class
Machine Learning University: Accelerated Tabular Data Class This repository contains slides, notebooks, and datasets for the Machine Learning Universi
Prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Pattern Recognition and Machine Learning (PRML) This project contains Jupyter notebooks of many the algorithms presented in Christopher Bishop's Patte
Fastquant - Backtest and optimize your trading strategies with only 3 lines of code!
fastquant 🤓 Bringing backtesting to the mainstream fastquant allows you to easily backtest investment strategies with as few as 3 lines of python cod