Python Fake-News-Detection-Using-Machine-Learning-Methods Resources

Type4Py: Deep Similarity Learning-Based Type Inference for Python This repository contains the implementation of Type4Py and instructions for re-produ

Typilus: Suggest Python Type Annotations A GitHub action that suggests type annotations for Python using machine learning. This action makes suggestio

tldextract Python Module tldextract accurately separates the gTLD or ccTLD (generic or country code top-level domain) from the registered domain and s

PyLibTiff is a package that provides: a wrapper to the libtiff library to Python using ctypes. a pure Python module for reading and writing TIFF and L

Detect waste AI4Good project for detecting waste in environment. www.detectwaste.ml. Our latest results were published in Waste Management journal in

FlyOver Basic space-ship simulator using python How to run? Just double click run.py What modules do i need? All modules that i currently using is bui

Study German declensions (dER nettE Mann, ein nettER Mann, mit dEM nettEN Mann, ohne dEN nettEN Mann ...) Generate as many exercises as you want using the incredible power of SPACY!

Scatterbrained Decentralized Federated Learning Scatterbrained makes it easy to build federated learning systems. In addition to traditional federated

HSE_Python_the_basics Welcome to BAsics programming Python! You’re joining thousands of learners currently enrolled in the course. I'm excited to have

Realtime Financial Market Data Visualization and Analysis Introduction This repo shows my project about real-time stock data pipeline. All the code is

Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images This repository contains the implementation of the following paper

Language Translation and Identification this machine/deep learning api that will be served as a graphql-api using ariadne, to perform the following ta

3D-GMPDCNN Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network PyTorch implementation of "Geological Modeling Usin

Soft-Exponential-Activation-Function: Implementation of parameterized soft-exponential activation function. In this implementation, the parameters are

Self-Supervised Learning Features self_supervised offers features like modular framework support for multi-gpu training using PyTorch Lightning easy t

The collaboration platform for Machine Learning MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine

Introduction 👨‍💻 It is a voice assistant which can be used to interact with your computer and also you have been seeing it in Iron man movies, but t

The pokemon showdown Python environment A Python interface to create battling pokemon agents. poke-env offers an easy-to-use interface for creating ru

aitk.robots A lightweight Python robot simulator for JupyterLab, Notebooks, and other Python environments. Goals A lightweight mobile robotics simulat

Clustering Clustering Application in Python Using scikit-learn This repository contains the prediction of baseball metric clusters using MLB Statcast

PyGAD: Genetic Algorithm in Python PyGAD is an open-source easy-to-use Python 3 library for building the genetic algorithm and optimizing machine lear

SSL-Backdoor Abstract Large-scale unlabeled data has allowed recent progress in self-supervised learning methods that learn rich visual representation

PythonPercolation Percolation simulation using python Exemple de percolation : Etude statistique sur le pourcentage de remplissage jusqu'à percolation

NCVX (NonConVeX): A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning.

Benchmarks for Object Detection in Aerial Images

DataSelection-NMT Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts Quick update: The paper got accepted o

Learning with Subset Stacking (LESS) LESS is a new supervised learning algorithm that is based on training many local estimators on subsets of a given

Semi-supervised Domain Adaptive Structure Learning - ASDA This repo contains the source code and dataset for our ASDA paper. Illustration of the propo

Few-shot-NLEs These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations". You can find the smal

Weighted Projective Spaces ML Description: The database of 5-vectors describing 4d weighted projective spaces which admit Calabi-Yau hypersurfaces are

Deep Semi-Supervised Teacher-Student Material Synthesizability Prediction Citation: Semi-supervised teacher-student deep neural network for materials

WOOD Implementation of our recent paper, WOOD: Wasserstein-based Out-of-Distribution Detection. Abstract The training and test data for deep-neural-ne

FinRL-Meta: A Universe of Market Environments. FinRL-Meta is a universe of market environments for data-driven financial reinforcement learning. Users

Centroid UNet - Locating Object Centroids in Aerial/Serial Images Introduction Centroid-UNet is deep neural network model to detect centroids from Aer

Semantically Contrastive Learning for Low-light Image Enhancement Here, we propose an effective semantically contrastive learning paradigm for Low-lig

Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images In this paper, we present an effective Dynamic Enhancement Anchor

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels The implementation of Hypernet-Ensemble Le

MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity Introduction The 3D LiDAR place recognition aim

This is the official repository of the paper: CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability A private copy of the

Code data_preprocess.py: preprocess data for Dependent-T5. parameters.py: define parameters of Dependent-T5. train_tools.py: traning and evaluation co

Shaping Visual Representations with Attributes for Few-Shot Learning This code implements the Shaping Visual Representations with Attributes for Few-S

MaskAL - Active learning for Mask R-CNN in Detectron2 Summary MaskAL is an active learning framework that automatically selects the most-informative i

Convenient tools for using Swagger to define and validate your interfaces in a Pyramid webapp.

WARNING: This is from spyne's development branch. This version is not released yet! Latest stable release can be found in the 2_13 branch. If you like

flask-ngrok A simple way to demo Flask apps from your machine. Makes your Flask apps running on localhost available over the internet via the excellen

aiortc What is aiortc? aiortc is a library for Web Real-Time Communication (WebRTC) and Object Real-Time Communication (ORTC) in Python. It is built o

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.

Transcription Factor binding predictions with Attention and Transformers A repository with exploration into using transformers to predict DNA ↔ transc

vs-RealEsrganAnime-tensorrt-docker Using image super resolution models with vapoursynth and speeding them up with TensorRT. Also a docker image since

Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

This is a webscraper for a specific website. It is tuned to extract the headlines of that website. With some little adjustments the webscraper is able to extract any part of the website.

Unsupervised JPEG Domain Adaptation for Practical Digital Image Forensics @WIFS2021 (Montpellier, France) Rony Abecidan, Vincent Itier, Jeremie Boulan

CSDNet-CSDGAN this is the code for the paper "Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement" Environment Preparing pyt

DiffuseMorph Implementation A PyTorch implementation of deep-learning-based registration. Requirements OS : Ubuntu / Windows Python 3.6 PyTorch 1.4.0

BOVText: A Large-Scale, Bilingual Open World Dataset for Video Text Spotting Updated on December 10, 2021 (Release all dataset(2021 videos)) Updated o

# 1. Installing Maven & Pandas First, please install Java (JDK11) and Python 3 if they are not already. Next, make sure that Maven (for importing J

LUNAR Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks" Adam Goodge, Bryan Hooi, Ng See Kiong and

Learning-Augmented Algorithms for Online Steiner Tree This is the code for the paper "Learning-Augmented Algorithms for Online Steiner Tree". Requirem

Camera Condition Monitoring and Readjustment by means of Noise and Blur This repository contains the source code of the paper: Wischow, M., Gallego, G

Blockwise Sequential Model Learning Code for 'Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning' (AAAI 2022) For ins

HEART DISEASE AI DATATHON 2021 [Eng] / [Kor] #English This is an AI diagnosis modeling contest that uses the heart disease echocardiography and electr

Game 2048_Python Dựa trên trò chơi nổi tiếng 2048 của Gabriele Cirulli. Mục tiêu của trò chơi là trượt các khối được đánh số trên một lưới để kết hợp

hourglass-on-pico "Hourglass" on the raspberry pi pico using circuitpython circuitpython version 7.0.0 Components used: Raspberry Pi Pico ADXL345 acce

9SPY 👁‍🗨 9SPY is a Windows RAT built in Python using sockets Features Features will be listed here soon, there are currenly 14 Information This is a

Deep Q-Learning Recommend papers The first step is to read and understand the method that you will implement. It was first introduced in a 2013 paper

Easy-ERA5-Trck Easy-ERA5-Trck Galleries Install Usage Repository Structure Module Files Version iteration Easy-ERA5-Trck is a super lightweight Lagran

CompressAI CompressAI (compress-ay) is a PyTorch library and evaluation platform for end-to-end compression research. CompressAI currently provides: c

Monte Carlo python simulation Install linux dependencies sudo apt update sudo apt install build-essential \ software-properties-commo

Jiminy is a fast and portable cross-platform open-source simulator for poly-articulated systems. It was built with two ideas in mind: provide a fast y

Maze Generator And Solver Program Purpose: Generates a maze that then solves itself Language: Python and Pygame Algorithm: Randomized DFS / Floodfill

WEATHER FORECASTING ACROSS THE WORLD Overview Python scripts were created to visualize the weather for over 500 cities across the world at varying di

CoinTex: Cross-platform Multi-Level Game created in Python using Kivy CoinTex is a multi-level adventure game created using the Kivy cross-platform Py

A way to analyse how malware and/or goodware samples vary from each other using Shannon Entropy, Hausdorff Distance and Jaro-Winkler Distance

Random database/dataframe generator Authored and maintained by Dr. Tirthajyoti Sarkar, Fremont, USA Introduction Often, beginners in SQL or data scien

fake-useragent info: Up to date simple useragent faker with real world database Features grabs up to date useragent from useragentstring.com randomize

unsync Unsynchronize asyncio by using an ambient event loop, or executing in separate threads or processes. Quick Overview Functions marked with the @

Persistent, stale-free, local and cross-machine caching for Python functions.

A library for researching neural networks compression and acceleration methods.

Facebook AI Image Similarity Challenge: Matching Track —— Team: imgFp This is the source code of our 3rd place solution to matching track of Image Sim

MMDetection3D is an open source object detection toolbox based on PyTorch

A Python tool that parses JSON documents using JsonPath

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

nngtools Usage Place your nngsave.json to the directory in which you want to extract the level files. Place nngmap.json on the same directory. Run nng

Overview of The Code BaseColab/MLDL_FPAR.pdf: it contains the full explanation of our work Base Colab: it contains the base colab used to perform all

KIDA: Knowledge Inheritance in Data Aggregation This project releases our 1st place solution on NeurIPS2021 ML4CO Dual Task. Slide and model weights a

PyTorch implementation of Video Transformer Benchmarks This repository is mainly built upon Pytorch and Pytorch-Lightning. We wish to maintain a colle

"Stalk Overflow with debuggy" Error Parser Everything is done in Python so it's extremely easy to install and use. Supports Python 3. Debuggy is used

Logical Neural Networks LNNs are a novel Neuro = symbolic framework designed to seamlessly provide key properties of both neural nets (learning) and s

notion-scholar Reference management solution using Python and Notion. The main idea of this app is to allow to furnish a Notion database using a BibTe

Token: Token-based Representation for Image Retrieval PyTorch training code for Token-based Representation for Image Retrieval. We propose a joint loc

Python Notes App. This is a small web application maked with flask-python for add notes easily and quickly. Dependencies. You can create a virtual env

Task Management System A task management app for Projects created using Django v4.0 and Python 3.8 for educational purpose. This project was created d

easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required.

Programmatically Build and Manage Training Data Announcement The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI applicat

An Open Source Project from the Data to AI Lab, at MIT Website: https://sdv.dev Documentation: https://sdv.dev/SDV User Guides Developer Guides Github

deepdish Flexible HDF5 saving/loading and other data science tools from the University of Chicago. This repository also host a Deep Learning blog: htt

pyexcel-xlsx - Let you focus on data, instead of xlsx format pyexcel-xlsx is a tiny wrapper library to read, manipulate and write data in xlsx and xls

BOVText: A Large-Scale, Bilingual Open World Dataset for Video Text Spotting Updated on December 10, 2021 (Release all dataset(2021 videos)) Updated o

GitGuardian Shield: protect your secrets with GitGuardian GitGuardian shield (ggshield) is a CLI application that runs in your local environment or in