1498 Repositories
Python time-series-classification Libraries
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
Explainable CNNs 📦 Flexible visualization package for generating layer-wise explanations for CNNs. It is a common notion that a Deep Learning model i
Repository for RNNs using TensorFlow and Keras - LSTM and GRU Implementation from Scratch - Simple Classification and Regression Problem using RNNs
RNN 01- RNN_Classification Simple RNN training for classification task of 3 signal: Sine, Square, Triangle. 02- RNN_Regression Simple RNN training for
Real-time Object Detection for Streaming Perception, CVPR 2022
StreamYOLO Real-time Object Detection for Streaming Perception Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, Sun Jian Real-time Object Detection
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks (ICCV 2021) This repository is the official implem
I will implement Fastai in each projects present in this repository.
DEEP LEARNING FOR CODERS WITH FASTAI AND PYTORCH The repository contains a list of the projects which I have worked on while reading the book Deep Lea
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
Cross View Transformers This repository contains the source code and data for our paper: Cross-view Transformers for real-time Map-view Semantic Segme
Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"
FLASH - Pytorch Implementation of the Transformer variant proposed in the paper Transformer Quality in Linear Time Install $ pip install FLASH-pytorch
This repository contains a pytorch implementation of "HeadNeRF: A Real-time NeRF-based Parametric Head Model (CVPR 2022)".
HeadNeRF: A Real-time NeRF-based Parametric Head Model This repository contains a pytorch implementation of "HeadNeRF: A Real-time NeRF-based Parametr
The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).
DeepBDC for few-shot learning Introduction In this repo, we provide the implementation of the following paper: "Joint Distribution Matters: Dee
Lightning ⚡️ fast forecasting with statistical and econometric models.
Nixtla Statistical ⚡️ Forecast Lightning fast forecasting with statistical and econometric models StatsForecast offers a collection of widely used uni
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Machine Learning Notebooks, 3rd edition This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
HugsVision is an open-source and easy to use all-in-one huggingface wrapper for computer vision. The goal is to create a fast, flexible and user-frien
Data stream analytics: Implement online learning methods to address concept drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" accepted in IEEE GlobeCom 2021.
PWPAE-Concept-Drift-Detection-and-Adaptation This is the code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
Python Decision Tree and Random Forest Decision Tree A Decision Tree is one of the popular and powerful machine learning algorithms that I have learne
Dataset and baseline code for the VocalSound dataset (ICASSP2022).
VocalSound: A Dataset for Improving Human Vocal Sounds Recognition Introduction Citing Download VocalSound Dataset Details Baseline Experiment Contact
SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation, CVPR 2022
SparseInst 🚀 A simple framework for real-time instance segmentation, CVPR 2022 by Tianheng Cheng, Xinggang Wang†, Shaoyu Chen, Wenqiang Zhang, Qian Z
Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time.
BBB Face Recognizer Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time. Instalati
Building a real-time environment using webcam frame division in OpenCV and classify cropped images using a fine-tuned vision transformers on hybryd datasets samples for facial emotion recognition.
Visual Transformer for Facial Emotion Recognition (FER) This project has the aim to build an efficient Visual Transformer for the Facial Emotion Recog
This project shows how to serve an TF based image classification model as a web service with TFServing, Docker, and Kubernetes(GKE).
Deploying ML models with CPU based TFServing, Docker, and Kubernetes By: Chansung Park and Sayak Paul This project shows how to serve a TensorFlow ima
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
DeltaConv [Paper] [Project page] Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds" by Ru
PyPOTS - A Python Toolbox for Data Mining on Partially-Observed Time Series
A python toolbox/library for data mining on partially-observed time series, supporting tasks of forecasting/imputation/classification/clustering on incomplete multivariate time series with missing values.
A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.
Image Classification in Python Implementing image classification in Flask using Keras. The VGG16 is a convolution neural network model architecture th
Nest Protect integration for Home Assistant. This will allow you to integrate your smoke, heat, co and occupancy status real-time in HA.
Nest Protect integration for Home Assistant Custom component for Home Assistant to interact with Nest Protect devices via an undocumented and unoffici
Awesome Remote Sensing Toolkit based on PaddlePaddle.
基于飞桨框架开发的高性能遥感图像处理开发套件,端到端地完成从训练到部署的全流程遥感深度学习应用。 最新动态 PaddleRS 即将发布alpha版本!欢迎大家试用 简介 PaddleRS是遥感科研院所、相关高校共同基于飞桨开发的遥感处理平台,支持遥感图像分类,目标检测,图像分割,以及变化检测等常用遥
Implementation of ETSformer, state of the art time-series Transformer, in Pytorch
ETSformer - Pytorch Implementation of ETSformer, state of the art time-series Transformer, in Pytorch Install $ pip install etsformer-pytorch Usage im
My Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks using Tensorflow
Easy Data Augmentation Implementation This repository contains my Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Per
This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.
Deploying ML models with FastAPI, Docker, and Kubernetes By: Sayak Paul and Chansung Park This project shows how to serve an ONNX-optimized image clas
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
SentimentArcs - Emotion in Text An end-to-end pipeline based on Jupyter notebooks to detect, extract, process and anlayze emotion over time in text. E
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding (CVPR'22) Paper Link | Project Page Abstract : Manual an
Doing the asl sign language classification on static images using graph neural networks.
SignLangGNN When GNNs 💜 MediaPipe. This is a starter project where I tried to implement some traditional image classification problem i.e. the ASL si
🧬 Non-linear feature reduction using Deep Autoencoders and Breast Cancer classification.
Project summary This repository contains the implementation of my bachelor degree project. The aim of the project is to apply non-linear feature reduc
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
Understanding Bayesian Classification This repository hosts the code to reproduce the results presented in the paper On Uncertainty, Tempering, and Da
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
Responsible AI Workshop Responsible innovation is top of mind. As such, the tech industry as well as a growing number of organizations of all kinds in
🥇 LG-AI-Challenge 2022 1위 솔루션 입니다.
LG-AI-Challenge-for-Plant-Classification Dacon에서 진행된 농업 환경 변화에 따른 작물 병해 진단 AI 경진대회 에 대한 코드입니다. (colab directory에 코드가 잘 정리 되어있습니다.) Requirements python
level1-image-classification-level1-recsys-09 created by GitHub Classroom
level1-image-classification-level1-recsys-09 ❗ 주제 설명 COVID-19 Pandemic 상황 속 마스크 착용 유무 판단 시스템 구축 마스크 착용 여부, 성별, 나이 총 세가지 기준에 따라 총 18개의 class로 구분하는 모델 ?
Sequencer: Deep LSTM for Image Classification
Sequencer: Deep LSTM for Image Classification Created by Yuki Tatsunami Masato Taki This repository contains implementation for Sequencer. Abstract In
Enterprise Scale NLP with Hugging Face & SageMaker Workshop series
Workshop: Enterprise-Scale NLP with Hugging Face & Amazon SageMaker Earlier this year we announced a strategic collaboration with Amazon to make it ea
Course files for "Ocean/Atmosphere Time Series Analysis"
time-series This package contains all necessary files for the course Ocean/Atmosphere Time Series Analysis, an introduction to data and time series an
Get started with Machine Learning with Python - An introduction with Python programming examples
Machine Learning With Python Get started with Machine Learning with Python An engaging introduction to Machine Learning with Python TL;DR Download all
Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" https://arxiv.org/abs/2201.13433
Third Time's the Charm? Image and Video Editing with StyleGAN3 Yuval Alaluf*, Or Patashnik*, Zongze Wu, Asif Zamir, Eli Shechtman, Dani Lischinski, Da
ML powered analytics engine for outlier detection and root cause analysis.
Website • Docs • Blog • LinkedIn • Community Slack ML powered analytics engine for outlier detection and root cause analysis ✨ What is Chaos Genius? C
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Anomaly Transformer in PyTorch This is an implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. This pape
Code of paper: "DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks"
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks Abstract: Adversarial training has been proven to
Potato Disease Classification - Training, Rest APIs, and Frontend to test.
Potato Disease Classification Setup for Python: Install Python (Setup instructions) Install Python packages pip3 install -r training/requirements.txt
⚓ Eurybia monitor model drift over time and securize model deployment with data validation
View Demo · Documentation · Medium article 🔍 Overview Eurybia is a Python library which aims to help in : Detecting data drift and model drift Valida
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
DeepXF: Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model Also, verify TS signal similarities
Multilingual Emotion classification using BERT (fine-tuning). Published at the WASSA workshop (ACL2022).
XLM-EMO: Multilingual Emotion Prediction in Social Media Text Abstract Detecting emotion in text allows social and computational scientists to study h
[CVPR 2022] CoTTA Code for our CVPR 2022 paper Continual Test-Time Domain Adaptation
CoTTA Code for our CVPR 2022 paper Continual Test-Time Domain Adaptation Prerequisite Please create and activate the following conda envrionment. To r
iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform
iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform This repo try to implement iSTFTNet : Fast
The implementation of "Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement"
SF-Net for fullband SE This is the repo of the manuscript "Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Ban
A cross-platform script to book first available time for getting a passport in Sweden - Ett skript som automatiskt bokar pass hos polisen
Automatic passport booker - Boka pass automatiskt hos Svenska polisen A cross-platform script to book first available time for getting a passport in S
An example to implement a new backbone with OpenMMLab framework.
Backbone example on OpenMMLab framework English | 简体中文 Introduction This is an template repo about how to use OpenMMLab framework to develop a new bac
Pytorch implementation of "ARM: Any-Time Super-Resolution Method"
ARM-Net Dependencies Python 3.6 Pytorch 1.7 Results Train Data preprocessing cd data_scripts python extract_subimages_test.py python data_augmentation
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight)
About Code release for Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy (ICLR 2022 Spotlight)
Direct application of DALLE-2 to video synthesis, using factored space-time Unet and Transformers
DALLE2 Video (wip) ** only to be built after DALLE2 image is done and replicated, and the importance of the prior network is validated ** Direct appli
Classification models 1D Zoo - Keras and TF.Keras
Classification models 1D Zoo - Keras and TF.Keras This repository contains 1D variants of popular CNN models for classification like ResNets, DenseNet
Helping data scientists better understand their datasets and models in text classification. With love from ServiceNow.
Azimuth, an open-source dataset and error analysis tool for text classification, with love from ServiceNow. Overview Azimuth is an open source applica
4st place solution for the PBVS 2022 Multi-modal Aerial View Object Classification Challenge - Track 1 (SAR) at PBVS2022
A Two-Stage Shake-Shake Network for Long-tailed Recognition of SAR Aerial View Objects 4st place solution for the PBVS 2022 Multi-modal Aerial View Ob
A python-image-classification web application project, written in Python and served through the Flask Microframework
A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.
Audio-analytics for music-producers! Automate tedious tasks such as musical scale detection, BPM rate classification and audio file conversion.
Click here to be re-directed to the Beat Inspect Streamlit Web-App You are a music producer? Let's get in touch via LinkedIn Fundamental Analytics for
This is an open source library implementing hyperbox-based machine learning algorithms
hyperbox-brain is a Python open source toolbox implementing hyperbox-based machine learning algorithms built on top of scikit-learn and is distributed
Text classification is one of the popular tasks in NLP that allows a program to classify free-text documents based on pre-defined classes.
Deep-Learning-for-Text-Document-Classification Text classification is one of the popular tasks in NLP that allows a program to classify free-text docu
vit for few-shot classification
Few-Shot ViT Requirements PyTorch (= 1.9) TorchVision timm (latest) einops tqdm numpy scikit-learn scipy argparse tensorboardx Pretrained Checkpoints
We’re releasing an open-source tool you can use now, which we developed as a homemade Just-In-Time database access control tool for our sensitive database. This tool syncs with our directory service, slack, SIEM, and finally, our Apache Cassandra database.
Cassandra Access Control By Aner Izraeli - Intezer Security Manager ([email protected]) We’re releasing an open-source tool you can use now, which
[CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration"
MDCA Calibration This is the official PyTorch implementation for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved
Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"
On-the-Fly Adaptation Official Pytorch Code base for On-the-Fly Test-time Adaptation for Medical Image Segmentation Paper Introduction One major probl
code for the ICLR'22 paper: On Robust Prefix-Tuning for Text Classification
On Robust Prefix-Tuning for Text Classification Prefix-tuning has drawed much attention as it is a parameter-efficient and modular alternative to adap
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks We provide the code (in PyTorch) and datasets for our paper "On Size-Orient
Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
Continuous-Time Meta-Learning with Forward Mode Differentiation ICLR 2022 (Spotlight) - Installation - Example - Citation This repository contains the
A series of Python scripts to access measurements from Fluke 28X meters. Fluke IR Remote Interface required.
Fluke289_data_access A series of Python scripts to access measurements from Fluke 28X meters. Fluke IR Remote Interface required. Created from informa
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.
PyOpenVINO - An Experimental Python Implementation of OpenVINO Inference Engine (minimum-set) Description The PyOpenVINO is a spin-off product from my
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark Yong
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
ZEROGEN This repository contains the code for our paper “ZeroGen: Efficient Zero
Hl classification bc - A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality
A Network-Based High-Level Data Classification Algorithm Using Betweenness Centr
Vrcwatch - Supply the local time to VRChat as Avatar Parameters through OSC
English: README-EN.md VRCWatch VRCWatch は、VRChat 内のアバター向けに現在時刻を送信するためのプログラムです。 使
1st-in-MICCAI2020-CPM - Combined Radiology and Pathology Classification
Combined Radiology and Pathology Classification MICCAI 2020 Combined Radiology a
Real-Time-Student-Attendence-System - Real Time Student Attendence System
Real-Time-Student-Attendence-System The Student Attendance Management System Pro
Movies-chart - A CLI app gets the top 250 movies of all time from imdb.com and the top 100 movies from rottentomatoes.com
movies-chart This CLI app gets the top 250 movies of all time from imdb.com and
Sphinx-performance - CLI tool to measure the build time of different, free configurable Sphinx-Projects
CLI tool to measure the build time of different, free configurable Sphinx-Projec
HashNeRF-pytorch - Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives
HashNeRF-pytorch Instant-NGP recently introduced a Multi-resolution Hash Encodin
BED: A Real-Time Object Detection System for Edge Devices
BED: A Real-Time Object Detection System for Edge Devices About this project Thi
TimeWizard - A script that generates every single Time Wizard EDOPRO lflist possible
EDOPRO F&L list generator This project is just a script that generates every sin
Stitch it in Time: GAN-Based Facial Editing of Real Videos
STIT - Stitch it in Time [Project Page] Stitch it in Time: GAN-Based Facial Edit
Using PyTorch Perform intent classification using three different models to see which one is better for this task
Using PyTorch Perform intent classification using three different models to see which one is better for this task
This program automatically logs you into a Zoom session at your alloted time
This program automatically logs you into a Zoom session at your alloted time. Optionally you can choose to have end the session at your allotted time.
RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation YouTube | BiliBili 16X interpolation results from two input images: Introd
KeyBrowser: A program launches a browser and a keylogger at the same time, is used to retrieve a person's personal information
KeyBrowser: A program launches a browser and a keylogger at the same time, is used to retrieve a person's personal information
Python Create Your Own Tool Series
Python Create Your Own Tool Series Hey there! This is an additional Github repository that contains the final product files for each video in my Youtu
Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters
Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...).
Companion code for the paper Theoretical characterization of uncertainty in high-dimensional linear classification
Companion code for the paper Theoretical characterization of uncertainty in high-dimensional linear classification Usage The required packages are lis
CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors
CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors In order to facilitate the res
dash-manufacture-spc-dashboard is a dashboard for monitoring read-time process quality along manufacture production line
In our solution based on plotly, dash and influxdb, the user will firstly generate the specifications for different robots, and then a wide range of interactive visualizations for different machines for machine power, machine cost, and total cost based on the energy time and total energy getting dynamically from sensors. If a threshold is met, the alert email is generated for further operation.
Select range and every time the screen changes, OCR is activated.
ASOCR(Auto Screen OCR) Select range and every time you press Space key, OCR is activated. 範囲を選ぶと、あなたがスペースキーを押すたびに、画面が変わる度にOCRが起動します。 usage1: simple OC
This repository contains code from the paper "TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network"
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network This repository contains code from the paper "TTS-GAN: A Transformer-based Tim
PyTorch-Geometric Implementation of MarkovGNN: Graph Neural Networks on Markov Diffusion
MarkovGNN This is the official PyTorch-Geometric implementation of MarkovGNN paper under the title "MarkovGNN: Graph Neural Networks on Markov Diffusi
Implementation of ToeplitzLDA for spatiotemporal stationary time series data.
Code for the ToeplitzLDA classifier proposed in here. The classifier conforms sklearn and can be used as a drop-in replacement for other LDA classifiers. For in-depth usage refer to the learning from label proportions (LLP) example or the example script.
Citation Intent Classification in scientific papers using the Scicite dataset an Pytorch
Citation Intent Classification Table of Contents About the Project Built With Installation Usage Acknowledgments About The Project Citation Intent Cla
Real time sign language recognition
The proposed work aims at converting american sign language gestures into English that can be understood by everyone in real time.
A lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look At CoefficienTs)
Real-time Instance Segmentation and Lane Detection This is a lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look
NCAR/UCAR virtual Python Tutorial Seminar Series lesson on MetPy.
The Project Pythia Python Tutorial Seminar Series continues with a lesson on MetPy on Wednesday, 2 February 2022 at 1 PM Mountain Standard Time.