9397 Repositories
Python Sentiment-analysis-using-XLnet-Deep-learning-in-natural-language-processing- Libraries
Open-Source board for converting RaspberryPI to Brain-computer interface
The easiest way to the neuroscience world with the shield for RaspberryPi - PIEEG (website). Open-source. Crowdsupply This project is the result of se
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
A GUI based CRUD database management system built using mysql and python
A GUI based CRUD database management system built using mysql and python
Transfer Learning Remote Sensing
Transfer_Learning_Remote_Sensing Simulation R codes for data generation and visualizations are in the folder simulation. Experiment: California Housin
Handwritten Character Recognition using CNN
Handwritten Character Recognition using CNN Problem Definition The main objective of this project is to solve the problem of handwritten character rec
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.
Implemenets the Contourlet-CNN as described in C-CNN: Contourlet Convolutional Neural Networks, using PyTorch
C-CNN: Contourlet Convolutional Neural Networks This repo implemenets the Contourlet-CNN as described in C-CNN: Contourlet Convolutional Neural Networ
LightGBM + Optuna: no brainer
AutoLGBM LightGBM + Optuna: no brainer auto train lightgbm directly from CSV files auto tune lightgbm using optuna auto serve best lightgbm model usin
A rubiks cube timer using a distance sensor and a raspberry pi 4, and possibly the pi pico to reduce size and cost.
distance sensor cube timer A rubiks cube timer using a distance sensor and a raspberry pi 4, and possibly the pi pico to reduce size and cost. How to
PyTorch implementation for NCL (Neighborhood-enrighed Contrastive Learning)
NCL (Neighborhood-enrighed Contrastive Learning) This is the official PyTorch implementation for the paper: Zihan Lin*, Changxin Tian*, Yupeng Hou* Wa
An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports.
Optical_Character_Recognition An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports. As an IOT/Compute
A particular navigation route using satellite feed and can help in toll operations & traffic managemen
How about adding some info that can quanitfy the stress on a particular navigation route using satellite feed and can help in toll operations & traffic management The current analysis is on the satellite image frame, but if we can add this info to a live feed it can help in developing smoother navigation systems based on real time traffic scenario
This repository contains some analysis of possible nerdle answers
Nerdle Analysis https://nerdlegame.com/ This repository contains some analysis of possible nerdle answers. Here's a quick overview: nerdle.py contains
VG-Scraper is a python program using the module called BeautifulSoup which allows anyone to scrape something off an website. This program lets you put in a number trough an input and a number is 1 news article.
VG-Scraper VG-Scraper is a convinient program where you can find all the news articles instead of finding one yourself. Installing [Linux] Open a term
A simple chat room using socket and threading for handle multiple connections.
• Socket Chat Room was a little project for socket study. It works with a server handling the incoming connections from the clients. Clients send encoded messages while waiting for others clients messages simultaneously. And the server receive all the messages and delivers to the other clients.
OceanScript is an Esoteric language used to encode and decode text into a formulation of characters
OceanScript is an Esoteric language used to encode and decode text into a formulation of characters - where the final result looks like waves in the ocean.
Clean and readable code for Decision Transformer: Reinforcement Learning via Sequence Modeling
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
A visual indicator of what environment/system you're using in django
A visual indicator of what environment/system you're using in django
Image-to-image regression with uncertainty quantification in PyTorch
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
A Broad Study on the Transferability of Visual Representations with Contrastive Learning
A Broad Study on the Transferability of Visual Representations with Contrastive Learning This repository contains code for the paper: A Broad Study on
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
TopClus The source code used for Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations, published in WWW 2022. Requ
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation
Learning Visual Words for Weakly-Supervised Semantic Segmentation
[IJCAI 2021] Learning Visual Words for Weakly-Supervised Semantic Segmentation Implementation of IJCAI 2021 paper Learning Visual Words for Weakly-Sup
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Code for CCA-SSG model proposed in the NeurIPS 2021 paper From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
Causal Influence Detection for Improving Efficiency in Reinforcement Learning This repository contains the code release for the paper "Causal Influenc
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents
BROS (BERT Relying On Spatiality) is a pre-trained language model focusing on text and layout for better key information extraction from documents. Given the OCR results of the document image, which are text and bounding box pairs, it can perform various key information extraction tasks, such as extracting an ordered item list from receipts
Supplementary Data for Evolving Reinforcement Learning Algorithms
evolvingrl Supplementary Data for Evolving Reinforcement Learning Algorithms This dataset contains 1000 loss graphs from two experiments: 500 unique g
CATE: Computation-aware Neural Architecture Encoding with Transformers
CATE: Computation-aware Neural Architecture Encoding with Transformers Code for paper: CATE: Computation-aware Neural Architecture Encoding with Trans
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
Awesome AutoDL A curated list of automated deep learning related resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awe
PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection?
PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
A framework for GPU based high-performance medical image processing and visualization
FAST is an open-source cross-platform framework with the main goal of making it easier to do high-performance processing and visualization of medical images on heterogeneous systems utilizing both multi-core CPUs and GPUs. To achieve this, FAST use modern C++, OpenCL and OpenGL.
Create a simple static website using python and jinja templates.
Simple Static Create a simple static website using python and jinja templates. Simple Static has four pieces: A build command that renders jinja templ
JAXMAPP: JAX-based Library for Multi-Agent Path Planning in Continuous Spaces
JAXMAPP: JAX-based Library for Multi-Agent Path Planning in Continuous Spaces JAXMAPP is a JAX-based library for multi-agent path planning (MAPP) in c
Dashboard to view a stock's basic information, RSI, Bollinger bands, EMA, SMA, sentiment analysis via Python
Your One And Only Trading Bot No seriously, we mean it! Contributors Jihad Al-Hussain John Gaffney Shanel Kuchera Kazuki Takehashi Patrick Thornquist
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
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (
SAGE: Sensitivity-guided Adaptive Learning Rate for Transformers
SAGE: Sensitivity-guided Adaptive Learning Rate for Transformers This repo contains our codes for the paper "No Parameters Left Behind: Sensitivity Gu
A simple machine learning python sign language detection project.
SST Coursework 2022 About the app A python application that utilises the tensorflow object detection algorithm to achieve automatic detection of ameri
Community and sentiment analysis based on tweets
The project has set itself the goal of analyzing the thoughts and interaction of Italian users through the social posts expressed through the Twitter platform on the day of the entry into force of the new measures. In particular, we want to research the reference hubs present on the network, but also the sentiment and emotions of peoples with respect to the new limitations.
Geospatial data-science analysis on reasons behind delay in Grab ride-share services
Grab x Pulis Detailed analysis done to investigate possible reasons for delay in Grab services for NUS Data Analytics Competition 2022, to be found in
Notebook and code to synthesize complex and highly dimensional datasets using Gretel APIs.
Gretel Trainer This code is designed to help users successfully train synthetic models on complex datasets with high row and column counts. The code w
GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks
Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks This repository contains the code and data for the corresp
A general purpose low level programming language written in Python.
A general purpose low level programming language written in Python. Basal is an easy mid level programming language compiling to C. It has an easy syntax, similar to Python, Rust etc.
PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.
PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks. It is developed by the Multi-Agent Artificial Intel
NovaMusic is a music sharing robot. Users can get music and music lyrics using inline queries.
A music sharing telegram robot using Redis database and Telebot python library using Redis database.
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees This repository is being continuously updated, please stay tuned! Any code con
PacketPy is an open-source solution for stress testing network devices using different testing methods
PacketPy About PacketPy is an open-source solution for stress testing network devices using different testing methods. Currently, there are only two c
Binary++ is an esoteric programming language based on* binary
Binary++ is an esoteric programming language based on* binary. * It's meant to be based on binary, but you can write Binary++ code using different mea
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
File-based TF-IDF: Calculates keywords in a document, using a word corpus.
File-based TF-IDF Calculates keywords in a document, using a word corpus. Why? Because I found myself with hundreds of plain text files, with no way t
Password manager using MySQL and Python 3.10.2
Password Manager Password manager using MySQL and Python 3.10.2 Installation Install my-project with github git clone https://github.com/AyaanSiddiq
Neural Radiance Fields Using PyTorch
This project is a PyTorch implementation of Neural Radiance Fields (NeRF) for reproduction of results whilst running at a faster speed.
MLOps pipeline project using Amazon SageMaker Pipelines
This project shows steps to build an end to end MLOps architecture that covers data prep, model training, realtime and batch inference, build model registry, track lineage of artifacts and model drift detection. It utilizes SageMaker Pipelines that offers machine learning (ML) to orchestrate SageMaker jobs and author reproducible ML pipelines.
Company clustering with K-means/GMM and visualization with PCA, t-SNE, using SSAN relation extraction
RE results graph visualization and company clustering Installation pip install -r requirements.txt python -m nltk.downloader stopwords python3.7 main.
Migrates translations to the REDCap native Multi-Language Management system
Automates much of the process of moving translations from the old Multilingual external module to the newer built-in Multi-Language Management (MLM) page.
Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.
py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne
A Student/ School management application built using Django and Python.
Student Management An awesome student management app built using Django.! Explore the docs » View Demo · Report Bug · Request Feature Table of Content
HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
HiPAL Code for KDD'22 Applied Data Science Track submission -- HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electro
Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.
Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.
Project: Netflix Data Analysis and Visualization with Python
Project: Netflix Data Analysis and Visualization with Python Table of Contents General Info Installation Demo Usage and Main Functionalities Contribut
A python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.
A python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.
A Numba-based two-point correlation function calculator using a grid decomposition
A Numba-based two-point correlation function (2PCF) calculator using a grid decomposition. Like Corrfunc, but written in Numba, with simplicity and hackability in mind.
This tool for beginner and help those people they gather information about Email Header Analysis, Instagram Information, Instagram Username Check, Ip Information, Phone Number Information, Port Scan
This tool for beginner and help those people they gather information about Email Header Analysis, Instagram Information, Instagram Username Check, Ip Information, Phone Number Information, Port Scan. This tool shows your hostname and public IP first, then user give input and according to option this tool work. This tool work diffrent Oprating system.
Supervised Contrastive Learning for Product Matching
Contrastive Product Matching This repository contains the code and data download links to reproduce the experiments of the paper "Supervised Contrasti
An async Python library to automate solving ReCAPTCHA v2 by audio using Playwright.
Playwright nonoCAPTCHA An async Python library to automate solving ReCAPTCHA v2 by audio using Playwright. Disclaimer This project is for educational
A training task for web scraping using python multithreading and a real-time-updated list of available proxy servers.
Parallel web scraping The project is a training task for web scraping using python multithreading and a real-time-updated list of available proxy serv
Computational inteligence project on faces in the wild dataset
Table of Contents The general idea How these scripts work? Loading data Needed modules and global variables Parsing the arrays in dataset Extracting a
MRC approach for Aspect-based Sentiment Analysis (ABSA)
B-MRC MRC approach for Aspect-based Sentiment Analysis (ABSA) Paper: Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extracti
Some embedding layer implementation using ivy library
ivy-manual-embeddings Some embedding layer implementation using ivy library. Just for fun. It is based on NYCTaxiFare dataset from kaggle (cut down to
Rank-One Model Editing for Locating and Editing Factual Knowledge in GPT
Rank-One Model Editing (ROME) This repository provides an implementation of Rank-One Model Editing (ROME) on auto-regressive transformers (GPU-only).
This repository contains examples of Task-Informed Meta-Learning
Task-Informed Meta-Learning This repository contains examples of Task-Informed Meta-Learning (paper). We consider two tasks: Crop Type Classification
PyTorch implementation of SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching
SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching This is the official PyTorch implementation of SMODICE: Versatile Offline I
NeuroGen: activation optimized image synthesis for discovery neuroscience
NeuroGen: activation optimized image synthesis for discovery neuroscience NeuroGen is a framework for synthesizing images that control brain activatio
Deep Surface Reconstruction from Point Clouds with Visibility Information
Data, code and pretrained models for the paper Deep Surface Reconstruction from Point Clouds with Visibility Information.
CLASSIX is a fast and explainable clustering algorithm based on sorting
CLASSIX Fast and explainable clustering based on sorting CLASSIX is a fast and explainable clustering algorithm based on sorting. Here are a few highl
Course materials for a 3-day seminar "Machine Learning and NLP: Advances and Applications" at New College of Florida
Machine Learning and NLP: Advances and Applications This repository hosts the course materials used for a 3-day seminar "Machine Learning and NLP: Adv
Deploying a production-ready Django project using Nginx and Gunicorn
django-nginx-gunicorn This project is for deploying a production-ready Django project using Nginx and Gunicorn. Running a local server of Django is no
Twitter Sentiment Analysis using #tag, words and username
Twitter Sentment Analysis Web App using #tag, words and username to fetch data finds Insides of data and Tells Sentiment of the perticular #tag, words or username.
PyTorch implementation of the ExORL: Exploratory Data for Offline Reinforcement Learning
ExORL: Exploratory Data for Offline Reinforcement Learning This is an original PyTorch implementation of the ExORL framework from Don't Change the Alg
Cado Response Integration with Amazon GuardDuty using AWS Lambda
Cado Response Integration with Amazon GuardDuty using AWS Lambda This repository contains a simple example where: An alert is triggered by GuardDuty T
Pytorch implementation of "Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates"
Peer Loss functions This repository is the (Multi-Class & Deep Learning) Pytorch implementation of "Peer Loss Functions: Learning from Noisy Labels wi
A small python script which runs a speedtest using speedtest.net and inserts it into a Google Docs Spreadsheet.
speedtest-google-sheets This is a small python script which runs a speedtest using speedtest.net and inserts it into a Google Docs Spreadsheet. Setup
Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2.
Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2. It is trained (finetuned) on a curated list of approximately 45K Python (~470MB) files gathered from the Github. Currently, it just works properly on Python but not bad at other languages (thanks to GPT-2's power).
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Volumetric TSDF Fusion of RGB-D Images in Python This is a lightweight python script that fuses multiple registered color and depth images into a proj
The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
SuperGen The source code for Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. Requirements Before running, you
Explore extreme compression for pre-trained language models
Code for paper "Exploring extreme parameter compression for pre-trained language models ICLR2022"
The pyrelational package offers a flexible workflow to enable active learning with as little change to the models and datasets as possible
pyrelational is a python active learning library developed by Relation Therapeutics for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.
Data Analysis: Data Visualization of Airlines
Data Analysis: Data Visualization of Airlines Anderson Cruz | London-UK | Linkedin | Nowa Capital Project: Traffic Airlines Airline Reporting Carrier
Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python
deepface Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid
The proliferation of disinformation across social media has led the application of deep learning techniques to detect fake news.
Fake News Detection Overview The proliferation of disinformation across social media has led the application of deep learning techniques to detect fak
A Graph Learning library for Humans
A Graph Learning library for Humans These novel algorithms include but are not limited to: A graph construction and graph searching class can be found
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning Authors: Tao Yu* Yichi Zhang* Zhiru Zhang Christopher De Sa *: Equal Contri
User-interest mock backend server implemnted using flask restful, and SQLAlchemy ORM confiugred with sqlite
Flask_Restful_SQLAlchemy_server User-interest mock backend server implemnted using flask restful, and SQLAlchemy ORM confiugred with sqlite. Backend b
Youtube Downloader is a simple but highly efficient Youtube Video Downloader, made completly using Python
Youtube Downloader is a simple but highly efficient Youtube Video Downloader, made completly using Python
Simple local RPG turn-based to play while learn something using the anki system
Simple local RPG turn-based to play while learn something using the anki system
HAIS_2GNN: 3D Visual Grounding with Graph and Attention
HAIS_2GNN: 3D Visual Grounding with Graph and Attention This repository is for the HAIS_2GNN research project. Tao Gu, Yue Chen Introduction The motiv
Simple Python package to convert an image into a quantized image using a customizable palette
Simple Python package to convert an image into a quantized image using a customizable palette. Resulting image can be displayed by ePaper displays such as Waveshare displays.
Visualize a molecule and its conformations in Jupyter notebooks/lab using py3dmol
Mol Viewer This is a simple package wrapping py3dmol for a single command visualization of a RDKit molecule and its conformations (embed as Conformer