382 Repositories
Python label-features Libraries
Ridogram is an advanced multi-featured Telegram UserBot.
Ridogram Ridogram is an advanced multi-featured Telegram UserBot. String Session Collect String Session by running python3 stringsession.py locally or
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
12_Python_Seaborn_Module Introduction π From the website, βSeaborn is a Python data visualization library based on matplotlib. It provides a high-lev
StorSeismic: An approach to pre-train a neural network to store seismic data features
StorSeismic: An approach to pre-train a neural network to store seismic data features This repository contains codes and resources to reproduce experi
[arXiv'22] Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation Xiao Fu1*β Shangzhan Zhang1*β Tianrun Chen1β Yichong Lu1β Lanyun Zhu2β Xi
Ridogram is an advanced multi-featured Telegram UserBot.
Ridogram Ridogram is an advanced multi-featured Telegram UserBot. String Session Collect String Session by running python3 stringsession.py locally or
A PyTorch implementation of ICLR 2022 Oral paper PiCO: Contrastive Label Disambiguation for Partial Label Learning
PiCO: Contrastive Label Disambiguation for Partial Label Learning This is a PyTorch implementation of ICLR 2022 Oral paper PiCO; also see our Project
Unsupervised phone and word segmentation using dynamic programming on self-supervised VQ features.
Unsupervised Phone and Word Segmentation using Vector-Quantized Neural Networks Overview Unsupervised phone and word segmentation on speech data is pe
βπA Centralized WebApp to Ensure Road Safety by checking on with the activities of the driver and activating label generator using NLP.
AI-For-Road-Safety Challenge hosted by Omdena Hyderabad Chapter Original Repo Link : https://github.com/OmdenaAI/omdena-india-roadsafety Final Present
Telegram Group Calls Streaming bot with some useful features, written in Python with Pyrogram and Py-Tgcalls. Supporting platforms like Youtube, Spotify, Resso, AppleMusic, Soundcloud and M3u8 Links.
Yukki Music Bot Yukki Music Bot is a Powerful Telegram Music+Video Bot written in Python using Pyrogram and Py-Tgcalls by which you can stream songs,
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
Ego4D EGO4D is the world's largest egocentric (first person) video ML dataset and benchmark suite, with 3,600 hrs (and counting) of densely narrated v
The implementation our EMNLP 2021 paper "Enhanced Language Representation with Label Knowledge for Span Extraction".
LEAR The implementation our EMNLP 2021 paper "Enhanced Language Representation with Label Knowledge for Span Extraction". See below for an overview of
[arXiv'22] Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
Panoptic NeRF Project Page | Paper | Dataset Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation Xiao Fu*, Shangzhan zhang*,
Official page of Struct-MDC (RA-L'22 with IROS'22 option); Depth completion from Visual-SLAM using point & line features
Struct-MDC (click the above buttons for redirection!) Official page of "Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural R
A Open source Discord Token Grabber with several very useful features coded in python 3.9
Kiwee-Grabber A Open source Discord Token Grabber with several very useful features coded in python 3.9 This only works on any python 3.9 versions. re
PyTorch Implementation of "Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging" (Findings of ACL 2022)
Feature_CRF_AE Feature_CRF_AE provides a implementation of Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging
[CVPR 2022] Back To Reality: Weak-supervised 3D Object Detection with Shape-guided Label Enhancement
Back To Reality: Weak-supervised 3D Object Detection with Shape-guided Label Enhancement Announcement π₯ We have not tested the code yet. We will fini
Adversarial-Information-Bottleneck - Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck (NeurIPS21)
NeurIPS 2021 Title: Distilling Robust and Non-Robust Features in Adversarial Exa
A simple chatbot based on chatterbot that you can use for anything has basic features
Chatbotium A simple chatbot based on chatterbot that you can use for anything has basic features. I have some errors Read the paragraph below: Known b
Official implementation of our paper "Learning to Bootstrap for Combating Label Noise"
Learning to Bootstrap for Combating Label Noise This repo is the official implementation of our paper "Learning to Bootstrap for Combating Label Noise
Learning Features with Parameter-Free Layers, ICLR 2022
Learning Features with Parameter-Free Layers (ICLR 2022) Dongyoon Han, YoungJoon Yoo, Beomyoung Kim, Byeongho Heo | Paper NAVER AI Lab, NAVER CLOVA Up
Learning Features with Parameter-Free Layers (ICLR 2022)
Learning Features with Parameter-Free Layers (ICLR 2022) Dongyoon Han, YoungJoon Yoo, Beomyoung Kim, Byeongho Heo | Paper NAVER AI Lab, NAVER CLOVA Up
To build a regression model to predict the concrete compressive strength based on the different features in the training data.
Cement-Strength-Prediction Problem Statement To build a regression model to predict the concrete compressive strength based on the different features
PyTorch implementation of the paper: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Estimate the noise transition matrix with f-mutual information. This co
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks
Adversarially-Robust-Periphery Code + Data from the paper "Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks" by A
To classify the News into Real/Fake using Features from the Text Content of the article
Hoax-Detector Authenticity of news has now become a major problem. The Idea is to classify the News into Real/Fake using Features from the Text Conten
This code is the implementation of Text Emotion Recognition (TER) with linguistic features
APSIPA-TER This code is the implementation of Text Emotion Recognition (TER) with linguistic features. The network model is BERT with a pretrained mod
This is a survey of python's async concurrency features by example.
Survey of Python's Async Features This is a survey of python's async concurrency features by example. The purpose of this survey is to demonstrate tha
Python command line tool and python engine to label table fields and fields in data files.
Python command line tool and python engine to label table fields and fields in data files. It could help to find meaningful data in your tables and data files or to find Personal identifable information (PII).
Face recognition project by matching the features extracted using SIFT.
MV_FaceDetectionWithSIFT Face recognition project by matching the features extracted using SIFT. By : Aria Radmehr Professor : Ali Amiri Dependencies
Mapping Conditional Distributions for Domain Adaptation Under Generalized Target Shift
This repository contains the official code of OSTAR in "Mapping Conditional Distributions for Domain Adaptation Under Generalized Target Shift" (ICLR 2022).
Learning Super-Features for Image Retrieval
Learning Super-Features for Image Retrieval This repository contains the code for running our FIRe model presented in our ICLR'22 paper: @inproceeding
An experimental script to perform bulk parsing of arbitrary file features with YARA and console logging.
RonnieColemanYARAParser This script is named after Ronnie Coleman, and peforms bulk lifts on arbitary file features using YARA console logging. Requir
Breast-Cancer-Classification - Using SKLearn breast cancer dataset which contains 569 examples and 32 features classifying has been made with 6 different algorithms
Breast-Cancer-Classification - Using SKLearn breast cancer dataset which contains 569 examples and 32 features classifying has been made with 6 different algorithms
Deep ViT Features as Dense Visual Descriptors
dino-vit-features [paper] [project page] Official implementation of the paper "Deep ViT Features as Dense Visual Descriptors". We demonstrate the effe
Multi-label classification of retinal disorders
Multi-label classification of retinal disorders This is a deep learning course project. The goal is to develop a solution, using computer vision techn
A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation".
Dual-Contrastive-Learning A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation". Y
PyTorch implementation for the paper Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime
Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime Created by Prarthana Bhattacharyya. Disclaimer: This is n
PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambiguation for Partial Label Learning
PiCO: Contrastive Label Disambiguation for Partial Label Learning This is a PyTorch implementation of ICLR 2022 paper PiCO: Contrastive Label Disambig
Implementation for "Conditional entropy minimization principle for learning domain invariant representation features"
Implementation for "Conditional entropy minimization principle for learning domain invariant representation features". The code is reproduced from thi
Hyperparameters tuning and features selection are two common steps in every machine learning pipeline.
shap-hypetune A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. Overview Hyperparameters t
Predict the spans of toxic posts that were responsible for the toxic label of the posts
toxic-spans-detection An attempt at the SemEval 2021 Task 5: Toxic Spans Detection. The Toxic Spans Detection task of SemEval2021 required participant
Savecontentbot - Telegram Save Content Bot With Same more Features
Save Restricted Content Bot A simple telegram bot to save restricted content wit
Improving Object Detection by Label Assignment Distillation
Improving Object Detection by Label Assignment Distillation This is the official implementation of the WACV 2022 paper Improving Object Detection by L
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs This is the code for the LERP. Dataset The dataset used is MI
PyTorch source code for Distilling Knowledge by Mimicking Features
LSHFM.detection This is the PyTorch source code for Distilling Knowledge by Mimicking Features. And this project contains code for object detection wi
Allows you to email people wordle spoilers. Very beta, not as many features
wordlespoiler Allows you to email people wordle spoilers. Very beta, not as many features How to Use 1.) Make a new gmail account. Go to settings (Man
Repository features UNet inspired architecture used for segmenting lungs on chest X-Ray images
Lung Segmentation (2D) Repository features UNet inspired architecture used for segmenting lungs on chest X-Ray images. Demo See the application of the
Static Features Classifier - A static features classifier for Point-Could clusters using an Attention-RNN model
Static Features Classifier This is a static features classifier for Point-Could
The purpose is to have a fairly simple python assignment that introduces the basic features and tools of python
This repository contains the code for the python introduction lab. The purpose is to have a fairly simple python assignment that introduces the basic
A Telegram Bot with(Forwarder Bot + User Bot + More Features )
A Telegram Bot with(Forwarder Bot + User Bot + More Features )
Cylinder volume calculator features the calculations of the volume of a Right /oblique full cylinder
Cylinder-Volume-Calculator Cylinder volume calculator features the calculations of the volume of a Right /oblique full cylinder. Size : 10.5 mb compat
Telegram Url Upload Bot With Same more Features β¨
Telegram Url Upload Bot With Same more Features β¨
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features | paper | Official PyTorch implementation for Mul
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
Autofilterv5 With Same more Features
Autofilterv5 With Same more Features β¨ Imbd + Index +.....
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house
This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con
JSONx - Easy JSON wrapper packed with features.
π·οΈ JSONx Easy JSON wrapper packed with features. This was made for small discord bots, for big bots you should not use this JSON wrapper. π₯ Usage Cl
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,
ChaozzDBPy - A python implementation based on the original ChaozzDB from Chaozznl with some new features
ChaozzDBPy About ChaozzDBPy is a python implementation based on the original Cha
Automation in socks label validation
This is a project for socks card label validation where the socks card is validated comparing with the correct socks card whose coordinates are stored in the database. When the test socks card is compared with the correct socks card(master socks card) the software checks whether both test and master socks card matches or not.
This is just a funny project that we want to see AutoEncoder (AE) can actually work to enhance the features we want
Funny_muscle_enhancer :) 1.Discription: This is just a funny project that we want to see AutoEncoder (AE) can actually work on the some features. We w
MlTr: Multi-label Classification with Transformer
MlTr: Multi-label Classification with Transformer This is official implement of "MlTr: Multi-label Classification with Transformer". Abstract The task
Public release of Telepathy, an OSINT toolkit for investigating Telegram groups. Enhanced features and improvements will be added over time.
Telepathy Welcome to Telepathy, an OSINT toolkit for scraping Telegram data to help investigate shady goings on. Currently, the tool is limited to scr
Kanata Bot - a modular bot running on python3 with anime theme and have a lot features
Kanata Bot Kanata Bot is a modular bot running on python3 with anime theme and have a lot features. Easiest Way To Deploy On Heroku This Bot is Create
InfiniPy has some neat features - like the endpoint for function
InfiniPy has some neat features - like the endpoint for function
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
I label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive
I label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive. Obstacles like sentence negation, sarcasm, terseness, language ambiguity, and many others make this task very challenging.
Fully Automated YouTube Channel βΆοΈwith Added Extra Features.
Fully Automated Youtube Channel βββββ ββββ βββββ βββββ ββββ ββββ βββ ββββ βββββ ββββ βββββ βββββ ββββ ββββ βββ ββββ βββββ ββββ βββββ βββββ ββββ ββββ
ELSED: Enhanced Line SEgment Drawing
ELSED: Enhanced Line SEgment Drawing This repository contains the source code of ELSED: Enhanced Line SEgment Drawing the fastest line segment detecto
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
Lbl2Vec Lbl2Vec is an algorithm for unsupervised document classification and unsupervised document retrieval. It automatically generates jointly embed
A practical ML pipeline for data labeling with experiment tracking using DVC.
Auto Label Pipeline A practical ML pipeline for data labeling with experiment tracking using DVC Goals: Demonstrate reproducible ML Use DVC to build a
Plone Interface contracts, plus basic features and utilities
plone.base This package is the base package of the CMS Plone https://plone.org. It contains only interface contracts and basic features and utilitie
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
Multilabel time series classification with LSTM Tensorflow implementation of model discussed in the following paper: Learning to Diagnose with LSTM Re
An intuitive library to extract features from time series
Time Series Feature Extraction Library Intuitive time series feature extraction This repository hosts the TSFEL - Time Series Feature Extraction Libra
This is Minesweeper coded in Python. It has almost all features from the main game
Minesweeper This is Minesweeper coded in Python. It has almost all features from the main game Use right click to open tile, right click on an open ti
a web-remote minecraft server wrapper with some unique features
Canceled here, continued as Semoxy MCWeb - a Minecraft Server Web Interface MCWeb is a web-remote Minecraft Server Wrapper for controlling your Minecr
An Anime Theme Telegram group management bot. With lot of features.
Emilia Project Emilia-Prjkt is a modular bot running on python3 with anime theme and have a lot features. Easiest Way To Deploy On Heroku This Bot is
I was sick of having to hand my friends my phone, so I gave my Spotify some SMS features!
SMSpotifY Just a little tool so that my friends can text a phone number and add to my spotify queue for parties and such:) Features Roles / Access Con
Attention-based Transformation from Latent Features to Point Clouds (AAAI 2022)
Attention-based Transformation from Latent Features to Point Clouds This repository contains a PyTorch implementation of the paper: Attention-based Tr
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Vehicle Detection Video demo Overview Vehicle detection using these machine learning and computer vision techniques. Linear SVM HOG(Histogram of Orien
This repo includes the supplementary of our paper "CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels"
Supplementary Materials for CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels This repository includes all supplementary mater
Okaeri Robot: a modular bot running on python3 with anime theme and have a lot features
OKAERI ROBOT Okaeri Robot is a modular bot running on python3 with anime theme a
Official Pytorch Implementation for Splicing ViT Features for Semantic Appearance Transfer presenting Splice
Splicing ViT Features for Semantic Appearance Transfer [Project Page] Splice is a method for semantic appearance transfer, as described in Splicing Vi
Transport Mode detection - can detect the mode of transport with the help of features such as acceeration,jerk etc
title emoji colorFrom colorTo sdk app_file pinned Transport_Mode_Detector π purple yellow gradio app.py false Configuration title: string Display tit
BridgeGAN - Tensorflow implementation of Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation.
Bridging the Gap between Label- and Reference based Synthesis(ICCV 2021) Tensorflow implementation of Bridging the Gap between Label- and Reference-ba
[ECCV 2020] XingGAN for Person Image Generation
Contents XingGAN or CrossingGAN Installation Dataset Preparation Generating Images Using Pretrained Model Train and Test New Models Evaluation Acknowl
Pytorch implemenation of Stochastic Multi-Label Image-to-image Translation (SMIT)
SMIT: Stochastic Multi-Label Image-to-image Translation This repository provides a PyTorch implementation of SMIT. SMIT can stochastically translate a
Convnet transfer - Code for paper How transferable are features in deep neural networks?
How transferable are features in deep neural networks? This repository contains source code necessary to reproduce the results presented in the follow
Enigma-Plus - Python based Enigma machine simulator with some extra features
Enigma-Plus Python based Enigma machine simulator with some extra features Examp
GEF (GDB Enhanced Features) - a modern experience for GDB with advanced debugging features for exploit developers & reverse engineers β’
GEF (GDB Enhanced Features) - a modern experience for GDB with advanced debugging features for exploit developers & reverse engineers β’
Orbivator AI - To Determine which features of data (measurements) are most important for diagnosing breast cancer and find out if breast cancer occurs or not.
Orbivator_AI Breast Cancer Wisconsin (Diagnostic) GOAL To Determine which features of data (measurements) are most important for diagnosing breast can
WebhookHub - A discord WebHook Manager with much more features coming soon
WebhookHub A discord WebHook Manager with much more features coming soon This is
Advanced_Data_Visualization_Tools - The present hands-on lab mainly uses Immigration to Canada dataset and employs advanced visualization tools such as word cloud, and waffle plot to display relations between features within the dataset.
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
Snowfall - helpful image handling utils - abstracts various file and opencv and pil features into result oriented functions
snowfall helpful image handling utils - abstracts various file and opencv and pil features into result oriented functions usage examples: from image_h
Image-Stitching - Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm
About The Project Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm (Random Sample Consensus). Author: Andreas P
βRobust Lightweight Facial Expression Recognition Network with Label Distribution Trainingβ, AAAI 2021.
EfficientFace Zengqun Zhao, Qingshan Liu, Feng Zhou. "Robust Lightweight Facial Expression Recognition Network with Label Distribution Training". AAAI
A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems
Label-Propagation-with-Augmented-Anchors (A2LP) Official codes of the ECCV2020 spotlight (label propagation with augmented anchors: a simple semi-supe
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition (NeurIPS 2019)
MLCR This is the source code for paper Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition. Xuesong Niu, Hu Han, Shiguang
This project aim to create multi-label classification annotation tool to boost annotation speed and make it more easier.
This project aim to create multi-label classification annotation tool to boost annotation speed and make it more easier.