Python Artifact-Detection-and-Sequential-Ablation Resources

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.

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

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. 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

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 with operations to transfer name between object, data, materials and action names Set groups of object's or ma

Web interface for browsing, search and filtering recent arxiv submissions

Unofficial Google Colaboratory Notebook and Repository Gallery Please contact me to take over and revamp this repo (it gets around 30k views and 200k

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 OSMnx is a Python package to work with street networks and other spatial data from OpenStreetMap: retrieve, model, analyze, and visuali

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

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers

Keras RetinaNet Keras implementation of RetinaNet object detection as described in Focal Loss for Dense Object Detection by Tsung-Yi Lin, Priya Goyal,

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. You can also play a codio (pre-recorded code block) on a slide. present is built o

About ntfy ntfy brings notification to your shell. It can automatically provide desktop notifications when long running commands finish or it can send

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.

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 functions such as translation, rotation, resizing, skeletonization, and displ

Most popular metrics used to evaluate object detection algorithms.

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.

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

Please read the blog post that goes with this code! Jupyter Notebook Setup System Requirements: Python, pip (Optional) virtualenv To start the Jupyter

Weather Data When traveling in the backcountry during winter time, updating yourself on current and recent weather data is important to understand lik

💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀 View Docs · Our Website · Join Our Newsletter · Getting Started Why B

yagooglesearch - Yet another googlesearch Overview yagooglesearch is a Python library for executing intelligent, realistic-looking, and tunable Google

Realtime-YOLO-Monster-Detection-With-Non-Maximum-Supression Table of Contents In

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-Style-Transfer This repo provides PyTorch Implementation of MSG-Net (ours) and Neural Style (Gatys et al. CVPR 2016), which has been included

Python for Finance (2nd ed., O'Reilly) This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Mastering Dat

Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving This paper has been accpeted by Conference o

Pattern Recognition and Machine Learning (PRML) This project contains Jupyter notebooks of many the algorithms presented in Christopher Bishop's Patte

fastquant 🤓 Bringing backtesting to the mainstream fastquant allows you to easily backtest investment strategies with as few as 3 lines of python cod

A scalable on-line movie recommender using Spark and Flask This Apache Spark tutorial will guide you step-by-step into how to use the MovieLens datase

nerf_pl Update: an improved NSFF implementation to handle dynamic scene is open! Update: NeRF-W (NeRF in the Wild) implementation is added to nerfw br

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

a project built with deep convolutional neural network and ❤️ Table of Contents Motivation The Database The Model 3.1 Input Layer 3.2 Convolutional La

Fecon235 - Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Saliency Methods 🔴 Now framework-agnostic! (Example core notebook) 🔴 🔗 For further explanation of the methods and more examples of the resulting ma

Kaggle-titanic This is a tutorial in an IPython Notebook for the Kaggle competition, Titanic Machine Learning From Disaster. The goal of this reposito

Captcha Solving Using TensorFlow Introduction Solve captcha using TensorFlow. Learn CNN and TensorFlow by a practical project. Follow the steps, run t

dont contribute in this repo, contribute only in below mentioned repo Special Note For Everyone ''' always make more then 4 pull request lets you have

Statistical Rethinking with Python and PyMC3 This repository has been deprecated in favour of this one, please check that repository for updates, for

Few-shot face translation A GAN based approach for one model to swap them all. The table below shows our priliminary face-swapping results requiring o

GestureSSD_CBAM A gesture recognition web system based on SSD and CBAM, using pytorch, flask and node.js SSD implementation is based on https://github

NLP T5 Project proposal Topic Modeling and Clustering of News-Articles-and-Essays Students: Nasser Alshehri Abdullah Bushnag Abdulrhman Alqurashi OVER

Orbivator_AI Breast Cancer Wisconsin (Diagnostic) GOAL To Determine which features of data (measurements) are most important for diagnosing breast can

X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana

Syllabus of Contents Syllabus of Contents Introduction Of Project Features Develop With Python code introduction Installation License Developer Contac

Hacktricks - Welcome to the page where you will find each trick/technique/whatever I have learnt in CTFs, real life apps, and reading researches and news.

Official Discussion Group (Telegram): https://t.me/video2x A Discord server is also available. Please note that most developers are only on Telegram.

Weights and Biases Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to produ

Paperless-ng Paperless (click me) is an application by Daniel Quinn and contributors that indexes your scanned documents and allows you to easily sear

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Created by Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas from Sta

neural image analogies This is basically an implementation of this "Image Analogies" paper, In our case, we use feature maps from VGG16. The patch mat

SQLAlchemy The Python SQL Toolkit and Object Relational Mapper Introduction SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that giv

Credit-Fraud-Detection - Credit fraud detection in Python using a Jupyter Notebook , using three classification models (Random Forest, Gaussian Naive Bayes, Logistic Regression) from the sklearn library, and judging the performance based on accuracy, precision, recall and f1 score

Automatic-Watering-System - Technical Answers to Real-World Problems. Evolution of Watering Manually to Watering Automatically.

Automatic Library of Congress Classification The Library of Congress Classification (LCC) is a comprehensive classification system that was first deve

Flight_fare-Prediction It is a Flight_fare Prediction Web Application Using Machine learning,Python and flask Using Machine leaning i have created a F

The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data analytics.

LinearRegression2_Tvads_and_CarSales This project infers the insight that how the TV ads for cars and car Sales are being linked with each other. It i

UltraGraphQL - cloned from https://git.rwth-aachen.de/i5/ultragraphql Updated or extended files: build.gradle: updated maven to use maven {url "https:

Tracks twitter spaces and sends it to a discord webhook. Uses the twitter api to find twitter spaces and then the m3u8 url for the space is found using selenium and will have it posted using a discord webhook. Optionally It can also download the twitter space after it ends.

line scanning repository This repository contains all of the tools used during the acquisition and postprocessing of line scanning data at the Spinoza

AWBW Replay Parser This repository is home to the AWBW Replay Parser, a Python package to open and step through AWBW game replays. This project is una

Proquabet Turn your prose into a constant stream of encrypted and meaningless-so

Control-Robot-Arm-using-PS4-Controller You can see all details about this Robot

Scrapy Cluster This Scrapy project uses Redis and Kafka to create a distributed

Cancer-and-Tumor-Detection-Using-Inception-model In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks

Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities. This is aimed at those looking to get into the field of Data Science or those who are already in the field and looking to solve a real-world project with python.

Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have undergone breast cancer surgery.

Omdena-abuja-anpd - Automatic Number Plate Detection for the security of lives and properties using Computer Vision.

SQLite python Starcraft 2 English This project shows the usage of SQLite with python. To create, modify and communicate with the SQLite database from

Planner (backend) Academic planner application designed for students and advisors.

Stock Price Prediction Using Deep Learning Univariate Time Series Predicting stock price using historical data of a company using Neural networks for

Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities

Hands-on Practice Learning Lab for Data Science Overview This hands on practice lab is a part of Data Visualization with Python course offered by Cour

opevcvdl-hw2 This project uses openCV and Qt to achieve the requirements. Version Python 3.7 opencv-contrib-python 3.4.2.17 Matplotlib 3.1.1 pyqt5 5.1

House Prices - Advanced Regression Techniques Predicting House Prices with Machine Learning This project is build to enhance my knowledge about machin

TinyAPI - 🔹 A fast & easy and lightweight WSGI Framework for Python

NewsScraper A simple Python 3 module to get crypto or news articles and their content from various RSS feeds. 🔧 Installation Clone the repo locally.

This Repo contains a series of Python Jupyter Notebooks and assignments. The assignments are taken from Python Crash Course book by Eric Matthes.

BreastCancerDetection - This program is designed to predict two severity of abnormalities associated with breast cancer cells: benign and malignant. Mammograms from MIAS is preprocessed and features are extracted using the pre-trained CNN.

PS3API PS3 API for TMAPI and CCAPI in python. Examples Connecting and Attaching from ps3api import PS3API PS3 = PS3API(PS3API.API_TMAPI) if PS3.Conn

Faza terminal simple tool for pen testers Use small letter only for commands Don't use space after command 'help' for more information Installation gi

Optimizers Visualized Visualization of how different optimizers handle mathematical functions for optimization. Contents Installation Usage Functions

GHDL Interactive Simulation This is an interactive test bench for a simple VHDL adder. It uses GHDL to elaborate/run the simulation. It is coded in Py

CS5242_2021 Neural Networks and Deep Learning, NUS CS5242, 2021 Cloud Machine #1 : Google Colab (Free GPU) Follow this Notebook installation : https:/

VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion (Interspeech

⭐️ Shadow Music ⭐️ A Telegram Music Bot written in Python using Pyrogram and Py-Tgcalls Ready to use method A Support Group, Updates Channel and ready

Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.

Password-Manager This app can generate ,save , find and delete passwords. In the StartUp() Function , there are three buttons to choose from : Generat

Product-Review-Summarizer - Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters, saving precious time of customers and helping them make a wise buying decision.

basic-dataset-generator-from-image-of-numbers generating .npy dataset and labels out of given image, containing numbers from 0 to 9, using opencv inpu