3014 Repositories
Python aspect-based-sentiment-analysis Libraries
Lazarus analysis tools and research report
Lazarus Research This repository publishes analysis reports and analysis tools for Operation Dream Job and Operation JTrack for Lazarus. Tools Python
Project under the certification "Data Analysis with Python" on FreeCodeCamp
Sea Level Predictor Assignment You will anaylize a dataset of the global average sea level change since 1880. You will use the data to predict the sea
Tools for the analysis, simulation, and presentation of Lorentz TEM data.
ltempy ltempy is a set of tools for Lorentz TEM data analysis, simulation, and presentation. Features Single Image Transport of Intensity Equation (SI
The FIRST GANs-based omics-to-omics translation framework
OmiTrans Please also have a look at our multi-omics multi-task DL freamwork 👀 : OmiEmbed The FIRST GANs-based omics-to-omics translation framework Xi
A web-based chat application that enables multiple users to interact with one another
A web-based chat application that enables multiple users to interact with one another, in the same chat room or different ones according to their choosing.
Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments
SuperSuit introduces a collection of small functions which can wrap reinforcement learning environments to do preprocessing ('microwrappers'). We supp
A paper list for aspect based sentiment analysis.
Aspect-Based-Sentiment-Analysis A paper list for aspect based sentiment analysis. Survey [IEEE-TAC-20]: Issues and Challenges of Aspect-based Sentimen
This is a Docker-based pipeline for preparing sextractor-ready multiwavelength images
Pipeline for creating NB422-detected (ODI) catalog The repository contains a Docker-based pipeline for preprocessing observational data. The pipeline
Python based GBDT implementation
Py-boost: a research tool for exploring GBDTs Modern gradient boosting toolkits are very complex and are written in low-level programming languages. A
LLVM-based compiler for LightGBM gradient-boosted trees. Speeds up prediction by ≥10x.
LLVM-based compiler for LightGBM gradient-boosted trees. Speeds up prediction by ≥10x.
Simply create JIRA releases based on your github releases
Simply create JIRA releases based on your github releases
Code for "Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments".
Code for "Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments".
EuroPi: A reprogrammable Eurorack project based on the Raspberry Pi Pico
EuroPi The EuroPi is a fully user reprogrammable module based on the Raspberry Pi Pico, which allows users to process inputs and controls to produce o
Just another script for automatize boolean-based blind SQL injections.
SQL Blind Injection Tool A script for automatize boolean-based blind SQL injections. Works with SQLite at least, supports using cookies. It uses bitwi
WAL enables programmable waveform analysis.
This repro introcudes the Waveform Analysis Language (WAL). The initial paper on WAL will appear at ASPDAC'22 and can be downloaded here: https://www.
Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"
FAME: Feature-based Adversarial Meta-Embeddings This is the companion code for the experiments reported in the paper "FAME: Feature-Based Adversarial
Fatigue Driving Detection Based on Dlib
Fatigue Driving Detection Based on Dlib
Genetic Algorithm for Robby Robot based on Complexity a Guided Tour by Melanie Mitchell
Robby Robot Genetic Algorithm A Genetic Algorithm based Robby the Robot in Chapter 9 of Melanie Mitchell's book Complexity: A Guided Tour Description
Basic fastapi blockchain - An api based blockchain with full functionality
Basic fastapi blockchain - An api based blockchain with full functionality
mPose3D, a mmWave-based 3D human pose estimation model.
mPose3D, a mmWave-based 3D human pose estimation model.
This is a menu driven Railway Reservation Project which is mainly based on the python-mysql connectivity.
Online-Railway-Reservation-System This is a menu driven Railway Reservation Project which is mainly based on the python-mysql connectivity. The projec
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
OpenPCDet OpenPCDet is a clear, simple, self-contained open source project for LiDAR-based 3D object detection. It is also the official code release o
Automatically visualize your pandas dataframe via a single print! 📊 💡
A Python API for Intelligent Visual Discovery Lux is a Python library that facilitate fast and easy data exploration by automating the visualization a
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Intel(R) Extension for Scikit-learn* Installation | Documentation | Examples | Support | FAQ With Intel(R) Extension for Scikit-learn you can accelera
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and many other libraries. Documenta
This is my Discord-Bot named priamoryki-bot based on python.
This is my Discord-Bot named priamoryki-bot based on python. It's a public repository without private information, so you need to correct some code for everything to be working.
GUI for TOAD-GAN, a PCG-ML algorithm for Token-based Super Mario Bros. Levels.
If you are using this code in your own project, please cite our paper: @inproceedings{awiszus2020toadgan, title={TOAD-GAN: Coherent Style Level Gene
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
An extension module to make reaction based menus with disnake
disnake-ext-menus An experimental extension menu that makes working with reaction menus a bit easier. Installing python -m pip install -U disnake-ext-
Developing a python based app prototype with KivyMD framework for a competition :))
Developing a python based app prototype with KivyMD framework for a competition :))
Xanadu Quantum Codebook is an experimental, exercise-based introduction to quantum computing using PennyLane.
Xanadu Quantum Codebook The Xanadu Quantum Codebook is an experimental, exercise-based introduction to quantum computing using PennyLane. This reposit
Object detection GUI based on PaddleDetection
PP-Tracking GUI界面测试版 本项目是基于飞桨开源的实时跟踪系统PP-Tracking开发的可视化界面 在PaddlePaddle中加入pyqt进行GUI页面研发,可使得整个训练过程可视化,并通过GUI界面进行调参,模型预测,视频输出等,通过多种类型的识别,简化整体预测流程。 GUI界面
Pydantic based mock data generation
This library offers powerful mock data generation capabilities for pydantic based models. It can also be used with other libraries that use pydantic as a foundation, for example SQLModel, Beanie and ormar.
This repository contains the official implementation code of the paper Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis
This repository contains the official implementation code of the paper Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis, accepted at ACMMM 2021.
Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis
Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis This is a PyTorch implementation of the model described in our pape
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification [pdf] The official repository for Self-Supervised Pre-Training for Transfo
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes This repository is the official implementation of Us
A Protein-RNA Interface Predictor Based on Semantics of Sequences
PRIP PRIP:A Protein-RNA Interface Predictor Based on Semantics of Sequences installation gensim==3.8.3 matplotlib==3.1.3 xgboost==1.3.3 prettytable==2
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Introduction English | 简体中文 MMOCR is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition, and the correspondi
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Jittor: a Just-in-time(JIT) deep learning framework Quickstart | Install | Tutorial | Chinese Jittor is a high-performance deep learning framework bas
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Riskfolio-Lib Quantitative Strategic Asset Allocation, Easy for Everyone. Description Riskfolio-Lib is a library for making quantitative strategic ass
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
2s-AGCN Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19 Note PyTorch version should be 0.3! For PyTor
Pysces (read: Pisces) is a program to help you send emails with an user-customizable time-based scheduling.
Pysces (Python Scheduled-Custom-Email-Sender) Pysces (read: Pisces) is a program to help you send emails with an user-customizable time-based email se
Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data.
Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data. Then used Yahoo Finance to get the related stock data and displayed them in the form of charts.
Graph parsing approach to structured sentiment analysis.
Fine-grained Sentiment Analysis as Dependency Graph Parsing This repository contains the code and datasets described in following paper: Fine-grained
Moodle community-based vulnerability scanner
badmoodle Moodle community-based vulnerability scanner Description badmoodle is an unofficial community-based vulnerability scanner for moodle that sc
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval.
DARP-SBIR Intro This repository contains the source code implementation for ICDM submission paper Deep Reinforced Attention Regression for Partial Ske
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
PSML paper: Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors PSML_IONE,PSML_ABNE,PSML_DEEPLINK,PSML_SNNA: numpy
Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS)
This repository contains tools to simulate the ground filtering process of a registered point cloud. The repository contains two filtering methods. The first method uses a normal vector, and fit to plane. The second method utilizes voxel adjacency, and fit to plane.
Does Oversizing Improve Prosumer Profitability in a Flexibility Market? - A Sensitivity Analysis using PV-battery System
Does Oversizing Improve Prosumer Profitability in a Flexibility Market? - A Sensitivity Analysis using PV-battery System The possibilities to involve
Epidemiology analysis package
zEpid zEpid is an epidemiology analysis package, providing easy to use tools for epidemiologists coding in Python 3.5+. The purpose of this library is
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
Python-for-Epidemiologists This repository is an introduction to epidemiology analyses in Python. Additionally, the tutorials for my library zEpid are
Explorative Data Analysis Guidelines
Explorative Data Analysis Get data into a usable format! Find out if the following predictive modeling phase will be successful! Combine everything in
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.
MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data
MCML is a toolkit for semi-supervised dimensionality reduction and quantitative analysis of Multi-Class, Multi-Label data. We demonstrate its use
An example project using OpenPrompt under pytorch-lightning for prompt-based SST2 sentiment analysis model
pl_prompt_sst An example project using OpenPrompt under the framework of pytorch-lightning for a training prompt-based text classification model on SS
jonny is a stack based programming language
jonny-lang jonny is a stack based programming language also compiling jonny files currently doesnt work on windows you can probably compile jonny file
Generate your own NFTs and their metadata based on your desired probabilities.
Generate your own NFTs and their metadata based on your desired probabilities. Use your own art assets too! Perfect for use with Candy Machine.
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place
Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
Prince is a library for doing factor analysis. This includes a variety of methods including principal component analysis (PCA) and correspondence anal
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
FFT-accelerated Interpolation-based t-SNE (FIt-SNE) Introduction t-Stochastic Neighborhood Embedding (t-SNE) is a highly successful method for dimensi
A high-performance topological machine learning toolbox in Python
giotto-tda is a high-performance topological machine learning toolbox in Python built on top of scikit-learn and is distributed under the G
Single-Cell Analysis in Python. Scales to 1M cells.
Scanpy – Single-Cell Analysis in Python Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It inc
Falcon: Interactive Visual Analysis for Big Data
Falcon: Interactive Visual Analysis for Big Data Crossfilter millions of records without latencies. This project is work in progress and not documente
Streamlit — The fastest way to build data apps in Python
Welcome to Streamlit 👋 The fastest way to build and share data apps. Streamlit lets you turn data scripts into sharable web apps in minutes, not week
Introduction to Geospatial Analysis in Python
Introduction to Geospatial Analysis in Python This repository is in support of a talk on geospatial data. Data To recreate all of the examples, the da
A natural language modeling framework based on PyTorch
Overview PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapi
Infomap is a network clustering algorithm based on the Map equation.
Infomap Infomap is a network clustering algorithm based on the Map equation. For detailed documentation, see mapequation.org/infomap. For a list of re
Code for our paper Aspect Sentiment Quad Prediction as Paraphrase Generation in EMNLP 2021.
Aspect Sentiment Quad Prediction (ASQP) This repo contains the annotated data and code for our paper Aspect Sentiment Quad Prediction as Paraphrase Ge
mmfewshot is an open source few shot learning toolbox based on PyTorch
OpenMMLab FewShot Learning Toolbox and Benchmark
Code to reproduce the results in the paper "Tensor Component Analysis for Interpreting the Latent Space of GANs".
Tensor Component Analysis for Interpreting the Latent Space of GANs [ paper | project page ] Code to reproduce the results in the paper "Tensor Compon
Emotion classification of online comments based on RNN
emotion_classification Emotion classification of online comments based on RNN, the accuracy of the model in the test set reaches 99% data: Large Movie
Python beta calculator that retrieves stock and market data and provides linear regressions.
Stock and Index Beta Calculator Python script that calculates the beta (β) of a stock against the chosen index. The script retrieves the data and resa
A Powerful Serverless Analysis Toolkit That Takes Trial And Error Out of Machine Learning Projects
KXY: A Seemless API to 10x The Productivity of Machine Learning Engineers Documentation https://www.kxy.ai/reference/ Installation From PyPi: pip inst
Detectron2 for Document Layout Analysis
Detectron2 trained on PubLayNet dataset This repo contains the training configurations, code and trained models trained on PubLayNet dataset using Det
An Active Automata Learning Library Written in Python
AALpy An Active Automata Learning Library AALpy is a light-weight active automata learning library written in pure Python. You can start learning auto
Resilience from Diversity: Population-based approach to harden models against adversarial attacks
Resilience from Diversity: Population-based approach to harden models against adversarial attacks Requirements To install requirements: pip install -r
Speedy Implementation of Instance-based Learning (IBL) agents in Python
A Python library to create single or multi Instance-based Learning (IBL) agents that are built based on Instance Based Learning Theory (IBLT) 1 Instal
Python Blood Vessel Topology Analysis
Python Blood Vessel Topology Analysis This repository is not being updated anymore. The new version of PyVesTo is called PyVaNe and is available at ht
Source code for our Paper "Learning in High-Dimensional Feature Spaces Using ANOVA-Based Matrix-Vector Multiplication"
NFFT4ANOVA Source code for our Paper "Learning in High-Dimensional Feature Spaces Using ANOVA-Based Matrix-Vector Multiplication" This package uses th
GNN-based Recommendation Benchmark
GRecX A Fair Benchmark for GNN-based Recommendation Homepage and Documentation Homepage: Documentation: Paper: GRecX: An Efficient and Unified Benchma
This is a simple bank management system based on Python.
Python Bank Management This is a simple bank management system based on Python. It's able to do basic operations of simple bank management. Outcome: W
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Score-Based Generative Modeling through Stochastic Differential Equations This repo contains a PyTorch implementation for the paper Score-Based Genera
This repo contains implementation of different architectures for emotion recognition in conversations.
Emotion Recognition in Conversations Updates 🔥 🔥 🔥 Date Announcements 03/08/2021 🎆 🎆 We have released a new dataset M2H2: A Multimodal Multiparty
A keras-based real-time model for medical image segmentation (CFPNet-M)
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation This repository contains the implementat
Codebase for "ProtoAttend: Attention-Based Prototypical Learning."
Codebase for "ProtoAttend: Attention-Based Prototypical Learning." Authors: Sercan O. Arik and Tomas Pfister Paper: Sercan O. Arik and Tomas Pfister,
Image classification for projects and researches
This is a tool to help you quickly solve classification problems including: data analysis, training, report results and model explanation.
Cascaded Pyramid Network (CPN) based on Keras (Tensorflow backend)
ML2 Takehome Project Reimplementing the paper: Cascaded Pyramid Network for Multi-Person Pose Estimation Dataset The model uses the COCO dataset which
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Scripts for "Current best-practices in single-cell RNA-seq: a tutorial" This repository is complementary to the publication: M.D. Luecken, F.J. Theis,
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
Introduction ImagePy is an open source image processing framework written in Python. Its UI interface, image data structure and table data structure a
This project uses Youtube data API's to do youtube tags analysis based on viewCount, comments etc.
Youtube video details analyser Steps to run this project Please set the AuthKey which you can fetch from google developer console and paste it in the
zeus is a Python implementation of the Ensemble Slice Sampling method.
zeus is a Python implementation of the Ensemble Slice Sampling method. Fast & Robust Bayesian Inference, Efficient Markov Chain Monte Carlo (MCMC), Bl
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
Face Recognition: Too Bias, or Not Too Bias? Robinson, Joseph P., Gennady Livitz, Yann Henon, Can Qin, Yun Fu, and Samson Timoner. "Face recognition:
Lingtrain Alignment Studio is an ML based app for texts alignment on different languages.
Lingtrain Alignment Studio Intro Lingtrain Alignment Studio is the ML based app for accurate texts alignment on different languages. Extracts parallel
Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.
Predicting Yelp Review Quality Table of Contents Introduction Motivation Goal and Central Questions The Data Data Storage and ETL EDA Data Pipeline Da
This is a a CSMA/CA simulator written in Python based on simulator of the same type
This is a a CSMA/CA simulator written in Python based on simulator of the same type found the link https://github.com/StevenSLXie/CSMA-Simulator with
Optimal Randomized Canonical Correlation Analysis
ORCCA Optimal Randomized Canonical Correlation Analysis This project is for the python version of ORCCA algorithm. It depends on Numpy for matrix calc
Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors
By Investors, For Investors. Want to read this in Chinese? Click here Empyrial is a Python-based open-source quantitative investment library dedicated
A machine learning model for analyzing text for user sentiment and determine whether its a positive, neutral, or negative review.
Sentiment Analysis on Yelp's Dataset Author: Roberto Sanchez, Talent Path: D1 Group Docker Deployment: Deployment of this application can be found her
Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.
Trading Tesla with Machine Learning and Sentiment Analysis An interactive program to train a Random Forest Classifier to predict Tesla daily prices us