3273 Repositories
Python energy-based-model Libraries
Predicting a person's gender based on their weight and height
Logistic Regression Advanced Case Study Gender Classification: Predicting a person's gender based on their weight and height 1. Introduction We turn o
Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data.
Hatchet Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data. It is intended for analyzing
A Python script to create customised Spotify playlists using the JSON, Spotipy Library and Spotify Web API, based on seed tracks in your history.
A Python script to create customised Spotify playlists using the JSON, Spotipy Library and Spotify Web API, based on seed tracks in your history.
An evolutionary multi-agent platform based on mesa and NEAT
An evolutionary multi-agent platform based on mesa and NEAT
Used for data processing in machine learning, and help us to construct ML model more easily from scratch
Used for data processing in machine learning, and help us to construct ML model more easily from scratch. Can be used in linear model, logistic regression model, and decision tree.
MySQL Connectivity based project. Contains various functions of a Store-Management-System
An Intermediate Level Python - MySQL Connectivity based project. Contains various functions of a Store-Management-System.
CLNTM - Contrastive Learning for Neural Topic Model
Contrastive Learning for Neural Topic Model This repository contains the impleme
Description NerdQuest is a social site for creating events and/or meet ups based on games.
NerdQuest Description NerdQuest is a social site for creating events and/or meet
SH-PUBLIC is a python based cloning script. You can clone unlimited UID facebook accounts by using this tool.
SH-PUBLIC is a python based cloning script. You can clone unlimited UID facebook accounts by using this tool. This tool works on any Android devices without root.
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model (Random Forest Classifier Model ) that helps the user to identify whether someone is showing positive Covid symptoms or not by simply inputting certain values like oxygen level , breath rate , age, Vaccination done or not etc. with the help of kaggle database.
This repository contains the re-implementation of our paper deSpeckNet: Generalizing Deep Learning Based SAR Image Despeckling
deSpeckNet-TF-GEE This repository contains the re-implementation of our paper deSpeckNet: Generalizing Deep Learning Based SAR Image Despeckling publi
Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation
SSWS-loss_function_based_on_MS-TCN Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation Supervised Sliding Window
Based on the given clinical dataset, Predict whether the patient having Heart Disease or Not having Heart Disease
Heart_Disease_Classification Based on the given clinical dataset, Predict whether the patient having Heart Disease or Not having Heart Disease Dataset
Create a machine learning model which will predict if the mortgage will be approved or not based on 5 variables
Mortgage-Application-Analysis Create a machine learning model which will predict if the mortgage will be approved or not based on 5 variables: age, in
Garbage Detection system which will detect objects based on whether it is plastic waste or plastics or just garbage.
Garbage Detection using Yolov5 on Jetson Nano 2gb Developer Kit. Garbage detection system which will detect objects based on whether it is plastic was
TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments for IV 2022.
TorchGRL TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffi
Multilingual finetuning of Machine Translation model on low-resource languages. Project for Deep Natural Language Processing course.
Low-resource-Machine-Translation This repository contains the code for the project relative to the course Deep Natural Language Processing. The goal o
LSTM model - IMDB review sentiment analysis
NLP - Movie review sentiment analysis The colab notebook contains the code for building a LSTM Recurrent Neural Network that gives 87-88% accuracy on
SMS Based Headless Browsing
Browse the internet without a network connection - Submission for ConUHacks VI
This is a working model for which I have used python.
Jarvis_voiceAssistance This is a working model for which I have used python. This model can: 1)Play a video or song on youtube. 2)Tell us time. 3)Tell
spaCy-wrap: For Wrapping fine-tuned transformers in spaCy pipelines
spaCy-wrap: For Wrapping fine-tuned transformers in spaCy pipelines spaCy-wrap is minimal library intended for wrapping fine-tuned transformers from t
A Python based program that displays Your Minecraft Server's Status Infos.
Minecraft-server-Status This (very) small python script allows you to view any Minecraft server's status Information Usage Download the file, install
Eureka is a Rest-API framework scraper based on FastAPI for cleaning and organizing data, designed for the Eureka by Turing project of the National University of Colombia
Eureka is a Rest-API framework scraper based on FastAPI for cleaning and organizing data, designed for the Eureka by Turing project of the National University of Colombia
Searches the word list in Wordle based on search pattern.
Wordle Searcher Searches the word list in Wordle based on search pattern. Warning: like all forms of cheating, it trivializes the game, and robs you o
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊
In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a model using HugginFace transformers framework.
Transformers are all you need In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a
The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it inside a loop of Design, Model Development and Operations.
MLOps The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it insid
[제 13회 투빅스 컨퍼런스] OK Mugle! - 장르부터 멜로디까지, Content-based Music Recommendation
Ok Mugle! 🎵 장르부터 멜로디까지, Content-based Music Recommendation 'Ok Mugle!'은 제13회 투빅스 컨퍼런스(2022.01.15)에서 진행한 음악 추천 프로젝트입니다. Description 📖 본 프로젝트에서는 Kakao
Analyzing the most strategic words to guess on Wordle, based on letter frequency distributions
wordle-analysis Evaluating different heuristics to determine the most effective solving strategy and building an AI-powered assistant tool to help you
RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. Unlike other versions of the model we use BERT for text encoder and SWIN transformer for image encoder.
ruCLIP-SB RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and re
Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set
Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set This is the repository for the Deep Learning proje
This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transformer"
FlatTN This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transfor
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
SPLADE 🍴 + 🥄 = 🔎 This repository contains the weights for four models as well as the code for running inference for our two papers: [v1]: SPLADE: S
Score refinement for confidence-based 3D multi-object tracking
Score refinement for confidence-based 3D multi-object tracking Our video gives a brief explanation of our Method. This is the official code for the pa
Hand gesture recognition model that can be used as a remote control for a smart tv.
Gesture_recognition The training data consists of a few hundred videos categorised into one of the five classes. Each video (typically 2-3 seconds lon
Heart Arrhythmia Classification
This program takes and input of an ECG in European Data Format (EDF) and outputs the classification for heartbeats into normal vs different types of arrhythmia . It uses a deep learning model for classification purposes.
RobustVideoMatting and background composing in one model by using onnxruntime.
RVM_onnx_compose RobustVideoMatting and background composing in one model by using onnxruntime. Usage pip install -r requirements.txt python infer_cam
A model to classify a piece of news as REAL or FAKE
Fake_news_classification A model to classify a piece of news as REAL or FAKE. This python project of detecting fake news deals with fake and real news
MusicYOLO framework uses the object detection model, YOLOx, to locate notes in the spectrogram.
MusicYOLO MusicYOLO framework uses the object detection model, YOLOX, to locate notes in the spectrogram. Its performance on the ISMIR2014 dataset, MI
YouPlay is a python based tool for downloading YouTube videos through its URL
YouPlay is a python based tool for downloading YouTube videos through its URL. It is capable to download videos from YouTube playlists too and can extract the audio file only from the video. It can read URLs from files and can download contents as per instruction.
This is the code repository for the paper A hierarchical semantic segmentation framework for computer-vision-based bridge column damage detection
Bridge-damage-segmentation This is the code repository for the paper A hierarchical semantic segmentation framework for computer-vision-based bridge c
A simple portable USB MIDI controller based on Raspberry-PI Pico and a 16-button keypad, written in Circuit Python
RPI-Pico-16-BTn-MIDI-Controller-using-CircuitPython A simple portable USB MIDI controller based on Raspberry-PI Pico, written in Circuit Python. Link
This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Prophet model to predict the number of A&E attendances in England if the COVID-19 pandemic had not happened
ae_attendances_modelling This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Pr
Painless Machine Learning for python based on scikit-learn
PlainML Painless Machine Learning Library for python based on scikit-learn. Install pip install plainml Example from plainml import KnnModel, load_ir
This repository serves as a place to document a toy attempt on how to create a generative text model in Catalan, based on GPT-2
GPT-2 Catalan playground and scripts to train a GPT-2 model either from scrath or from another pretrained model.
Annotate datasets with a semi-trained or fully trained YOLOv5 model
YOLOv5 Auto Annotator Annotate datasets with a semi-trained or fully trained YOLOv5 model Prerequisites Ubuntu =20.04 Python =3.7 System dependencie
High-fidelity 3D Model Compression based on Key Spheres
High-fidelity 3D Model Compression based on Key Spheres This repository contains the implementation of the paper: Yuanzhan Li, Yuqi Liu, Yujie Lu, Siy
This repository contains the implementation of the HealthGen model, a generative model to synthesize realistic EHR time series data with missingness
HealthGen: Conditional EHR Time Series Generation This repository contains the implementation of the HealthGen model, a generative model to synthesize
MetaTTE: a Meta-Learning Based Travel Time Estimation Model for Multi-city Scenarios
MetaTTE: a Meta-Learning Based Travel Time Estimation Model for Multi-city Scenarios This is the official TensorFlow implementation of MetaTTE in the
An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters
CNN-Filter-DB An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters Paul Gavrikov, Janis Keuper Paper: htt
GAN-based Matrix Factorization for Recommender Systems
GAN-based Matrix Factorization for Recommender Systems This repository contains the datasets' splits, the source code of the experiments and their res
OpenIPDM is a MATLAB open-source platform that stands for infrastructures probabilistic deterioration model
Open-Source Toolbox for Infrastructures Probabilistic Deterioration Modelling OpenIPDM is a MATLAB open-source platform that stands for infrastructure
Generate fine-tuning samples & Fine-tuning the model & Generate samples by transferring Note On
UPMT Generate fine-tuning samples & Fine-tuning the model & Generate samples by transferring Note On See main.py as an example: from model import PopM
Distance-Ratio-Based Formulation for Metric Learning
Distance-Ratio-Based Formulation for Metric Learning Environment Python3 Pytorch (http://pytorch.org/) (version 1.6.0+cu101) json tqdm Preparing datas
Change Detection in SAR Images Based on Multiscale Capsule Network
SAR_CD_MS_CapsNet Code for the paper "Change Detection in SAR Images Based on Multiscale Capsule Network" , IEEE Geoscience and Remote Sensing Letters
Transformer based SAR image despeckling
Transformer based SAR image despeckling Using the code: The code is stable while using Python 3.6.13, CUDA =10.1 Clone this repository: git clone htt
PyTorch implementation of an end-to-end Handwritten Text Recognition (HTR) system based on attention encoder-decoder networks
AttentionHTR PyTorch implementation of an end-to-end Handwritten Text Recognition (HTR) system based on attention encoder-decoder networks. Scene Text
CvT2DistilGPT2 is an encoder-to-decoder model that was developed for chest X-ray report generation.
CvT2DistilGPT2 Improving Chest X-Ray Report Generation by Leveraging Warm-Starting This repository houses the implementation of CvT2DistilGPT2 from [1
Combinatorial model of ligand-receptor binding
Combinatorial model of ligand-receptor binding The binding of ligands to receptors is the starting point for many import signal pathways within a cell
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces This is a repository for the following pape
In the AI for TSP competition we try to solve optimization problems using machine learning.
AI for TSP Competition Goal In the AI for TSP competition we try to solve optimization problems using machine learning. The competition will be hosted
Official code of Team Yao at Multi-Modal-Fact-Verification-2022
Official code of Team Yao at Multi-Modal-Fact-Verification-2022 A Multi-Modal Fact Verification dataset released as part of the De-Factify workshop in
Fast and exact ILP-based solvers for the Minimum Flow Decomposition (MFD) problem, and variants of it.
MFD-ILP Fast and exact ILP-based solvers for the Minimum Flow Decomposition (MFD) problem, and variants of it. The solvers are implemented using Pytho
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization This repository contains the code for the BBI optimizer, introduced in the p
Check out the StyleGAN repo and place it in the same directory hierarchy as the present repo
Variational Model Inversion Attacks Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard Zemel, Alireza Makhzani Most commands are in run_scripts. W
CSPML (crystal structure prediction with machine learning-based element substitution)
CSPML (crystal structure prediction with machine learning-based element substitution) CSPML is a unique methodology for the crystal structure predicti
Pytorch implement of 'Unmixing based PAN guided fusion network for hyperspectral imagery'
Pgnet There's a improved version compared with the publication in Tgrs with the modification in the deduction of the PDIN block: https://arxiv.org/abs
Model Agnostic Interpretability for Multiple Instance Learning
MIL Model Agnostic Interpretability This repo contains the code for "Model Agnostic Interpretability for Multiple Instance Learning". Overview Executa
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
A classification model capable of accurately predicting the price of secondhand cars
The purpose of this project is create a classification model capable of accurately predicting the price of secondhand cars. The data used for model building is open source and has been added to this repository. Most packages used are usually pre-installed in most developed environments and tools like collab, jupyter, etc. This can be useful for people looking to enhance the way the code their predicitve models and efficient ways to deal with tabular data!
Style transfer between images was performed using the VGG19 model
Style transfer between images was performed using the VGG19 model. The necessary codes, libraries and all other information of this project are available below
Script to autocompound 3commas BO:SO based on user provided risk factor
3commas_compounder Script to autocompound 3commas BO:SO based on user provided risk factor Setup Step 1 git clone this repo into your working director
Python based project to pull useful account statistics from the Algorand block chain.
PlanetWatchStats Python based project to pull useful account statistics from the Algorand block chain. Setup pip install -r requirements.txt Run pytho
This library provides an abstraction to perform Model Versioning using Weight & Biases.
Description This library provides an abstraction to perform Model Versioning using Weight & Biases. Features Version a new trained model Promote a mod
OptiPLANT is a cloud-based based system that empowers professional and non-professional data scientists to build high-quality predictive models
OptiPLANT OptiPLANT is a cloud-based based system that empowers professional and non-professional data scientists to build high-quality predictive mod
Tablicate - Python library for easy table creation and output to terminal
Tablicate Tablicate - Python library for easy table creation and output to terminal Features Column-wise justification alignment (left, right, center)
A cut down version of QUANT containing just the model in Python (QUANTPy)
A cut down version of QUANT containing just the model in Python (QUANTPy)
Command line tool to automate transforming the effects of one color profile to another, possibly more standard one.
Finished rendering the frames of that animation, and now the colors look washed out and ugly? This terminal program will solve exactly that.
This is a NLP based project to extract effective date of the contract from their text files.
Date-Extraction-from-Contracts This is a NLP based project to extract effective date of the contract from their text files. Problem statement This is
Openfe - Alchemical free energy calculations for the masses
The Open Free Energy library Alchemical free energy calculations for the masses.
Paddle-Skeleton-Based-Action-Recognition - DecoupleGCN-DropGraph, ASGCN, AGCN, STGCN
Paddle-Skeleton-Action-Recognition DecoupleGCN-DropGraph, ASGCN, AGCN, STGCN. Yo
SAS: Self-Augmentation Strategy for Language Model Pre-training
SAS: Self-Augmentation Strategy for Language Model Pre-training This repository
This repo provides the source code & data of our paper "GreaseLM: Graph REASoning Enhanced Language Models"
GreaseLM: Graph REASoning Enhanced Language Models This repo provides the source code & data of our paper "GreaseLM: Graph REASoning Enhanced Language
Code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization,
FSRA This repository contains the dataset link and the code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV
EdiBERT is a generative model based on a bi-directional transformer, suited for image manipulation
EdiBERT, a generative model for image editing EdiBERT is a generative model based on a bi-directional transformer, suited for image manipulation. The
Unsupervised Feature Loss (UFLoss) for High Fidelity Deep learning (DL)-based reconstruction
Unsupervised Feature Loss (UFLoss) for High Fidelity Deep learning (DL)-based reconstruction Official github repository for the paper High Fidelity De
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
idn-solver Paper | Project Page This repository contains the code release of our ICCV 2021 paper: A Confidence-based Iterative Solver of Depths and Su
On Out-of-distribution Detection with Energy-based Models
On Out-of-distribution Detection with Energy-based Models This repository contains the code for the experiments conducted in the paper On Out-of-distr
A hybrid framework (neural mass model + ML) for SC-to-FC prediction
The current workflow simulates brain functional connectivity (FC) from structural connectivity (SC) with a neural mass model. Gradient descent is applied to optimize the parameters in the neural mass model.
Feedback is important: response-aware feedback mechanism for background based conversation
RFM The code for the paper: "Feedback is important: response-aware feedback mechanism for background based conversation." Requirements python 3.7 pyto
RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2
RoNER RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2. It is meant to be an easy to use, hi
Eye-Blink-Counter - Python based Computer Vision project which counts how many time a person blinks
Eye Blink Counter OpenCV and Mediapipe No Blink Blink
This porject is intented to build the most accurate model for predicting the porbability of loan default
Estimating-Loan-Default-Probability IBA ML2 Mid-project / Kaggle Competition This porject is intented to build the most accurate model for predicting
Automatic generation of crypto-arts based on image layers
NFT Generator Автоматическая генерация крипто-артов на основе слоев изображения. Установка pip3 install -r requirements.txt rm -rf result/* Как это ра
A Python-based Wordle solver and CLI player
Wordle A Python-based Wordle solver and CLI player This was created using Python 3.9.7. SPOILER ALERT: the data directory contains spoilers for upcomi
This repo provides a package to automatically select a random seed based on ancient Chinese Xuanxue
🤞 Random Luck Deep learning is acturally the alchemy. This repo provides a package to automatically select a random seed based on ancient Chinese Xua
A task Provided by A respective Artenal Ai and Ml based Company to complete it
A task Provided by A respective Alternal Ai and Ml based Company to complete it .
Toward Model Interpretability in Medical NLP
Toward Model Interpretability in Medical NLP LING380: Topics in Computational Linguistics Final Project James Cross ([email protected]) and Daniel Kim
COVID-VIT: Classification of Covid-19 from CT chest images based on vision transformer models
COVID-ViT COVID-VIT: Classification of Covid-19 from CT chest images based on vision transformer models This code is to response to te MIA-COV19 compe
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification [NeurIPS 2021] Abstract Multiple instance learn