3273 Repositories
Python energy-based-model Libraries
Retinal vessel segmentation based on GT-UNet
Retinal vessel segmentation based on GT-UNet Introduction This project is a retinal blood vessel segmentation code based on UNet-like Group Transforme
A boosting-based Multiple Instance Learning (MIL) package that includes MIL-Boost and MCIL-Boost
A boosting-based Multiple Instance Learning (MIL) package that includes MIL-Boost and MCIL-Boost
Simple keras FCN Encoder/Decoder model for MS-COCO (food subset) segmentation
FCN_MSCOCO_Food_Segmentation Simple keras FCN Encoder/Decoder model for MS-COCO (food subset) segmentation Input data: [http://mscoco.org/dataset/#ove
This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks
NNProject - DeepMask This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks. Th
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
ademxapp Visual applications by the University of Adelaide In designing our Model A, we did not over-optimize its structure for efficiency unless it w
Static Features Classifier - A static features classifier for Point-Could clusters using an Attention-RNN model
Static Features Classifier This is a static features classifier for Point-Could
A JSON API for returning Godspeak sentences. Based on the works of Terry A Davis (Rest in Peace, King)
GodspeakAPI A simple API for generating random words ("godspeaks"), inspired by the works of Terrence Andrew Davis (Rest In Peace, King). Installation
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for customers.
Code for the paper "Generative design of breakwaters usign deep convolutional neural network as a surrogate model"
Generative design of breakwaters usign deep convolutional neural network as a surrogate model This repository contains the code for the paper "Generat
To prepare an image processing model to classify the type of disaster based on the image dataset
Disaster Classificiation using CNNs bunnysaini/Disaster-Classificiation Goal To prepare an image processing model to classify the type of disaster bas
Morth - Stack Based Programming Language
Morth WARNING! THIS LANGUAGE IS A WORKING PROGRESS. THIS IS JUST A HOBBY PROJECT
BlueMoonVampireBot - A Telegram Antispam Based Bot
Blue Moon Vampire Bot An Telegram Antispam Based Bot A Pyogram Bot to make banne
Trainspotting - Python Dependency Injector based on interface binding
Choose dependency injection Friendly with MyPy Supports lazy injections Supports
Pynomial - a lightweight python library for implementing the many confidence intervals for the risk parameter of a binomial model
Pynomial - a lightweight python library for implementing the many confidence intervals for the risk parameter of a binomial model
FastAPI Server Session is a dependency-based extension for FastAPI that adds support for server-sided session management
FastAPI Server-sided Session FastAPI Server Session is a dependency-based extension for FastAPI that adds support for server-sided session management.
A web-based visualization and debugging platform for NuPIC
Cerebro 2 A web-based visualization and debugging platform for NuPIC. Usage Set up cerebro2.server to export your model state. Then, run: cd static py
Semi-hash-based Image Generator
pixel-planet Semi-hash-based Image Generator Utilizable for NFTs Generation Process Input is salted and hashed Colors (background, planet, stars) are
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images Histological Image Segmentation This
A Python script for finding a food-truck based on latitude and longitude coordinates that you can run in your shell
Food Truck Finder Project Description This repository contains a Python script for finding a food-truck based on latitude and longitude coordinates th
sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code
sequitur sequitur is a library that lets you create and train an autoencoder for sequential data in just two lines of code. It implements three differ
A simple document management REST based API for collaboratively interacting with documents
documan_api A simple document management REST based API for collaboratively interacting with documents.
OMNIVORE is a single vision model for many different visual modalities
Omnivore: A Single Model for Many Visual Modalities [paper][website] OMNIVORE is a single vision model for many different visual modalities. It learns
Cereal box identification in store shelves using computer vision and a single train image per model.
Product Recognition on Store Shelves Description You can read the task description here. Report You can read and download our report here. Step A - Mu
pureSxS - A tool to export Component Based Servicing packages from a full Windows installation
pureSxS A tool to export Component Based Servicing packages from a full Windows installation. Usage pureSxS.py source_mum destination pureSxS wor
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house
This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con
Program that predicts the NBA mvp based on data from previous years.
NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs » View Demo · Rep
OCR-D wrapper for detectron2 based segmentation models
ocrd_detectron2 OCR-D wrapper for detectron2 based segmentation models Introduction Installation Usage OCR-D processor interface ocrd-detectron2-segm
Django Pickled Model
Django Pickled Model Django pickled model provides you a model with dynamic data types. a field can store any value in any type. You can store Integer
Open solution to the Toxic Comment Classification Challenge
Starter code: Kaggle Toxic Comment Classification Challenge More competitions 🎇 Check collection of public projects 🎁 , where you can find multiple
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents [Project Page] [Paper] [Video] Wenlong Huang1, Pieter Abbee
Utilities to make function-based views cleaner, more efficient, and better tasting.
django-fbv Utilities to make Django function-based views cleaner, more efficient, and better tasting. 💥 📖 Complete documentation: https://django-fbv
Extract gene length based on featureCount calculation gene nonredundant exon length method.
Extract gene length based on featureCount calculation gene nonredundant exon length method.
Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system
Recommender-Systems Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system So the data
AIDynamicTextReader - A simple dynamic text reader based on Artificial intelligence
AI Dynamic Text Reader: This is a simple dynamic text reader based on Artificial
TLXZoo - Pre-trained models based on TensorLayerX
Pre-trained models based on TensorLayerX. TensorLayerX is a multi-backend AI fra
Image Captioning on google cloud platform based on iot
Image-Captioning-on-google-cloud-platform-based-on-iot - Image Captioning on google cloud platform based on iot
Event-driven-model-serving - Unified API of Apache Kafka and Google PubSub
event-driven-model-serving Unified API of Apache Kafka and Google PubSub 1. Proj
This Deep Learning Model Predicts that from which disease you are suffering.
Deep-Learning-Project This Deep Learning Model Predicts that from which disease you are suffering. This Project Covers the Topics of Deep Learning Int
A file-based quote bot written in Python
Let's Write a Python Quote Bot! This repository will get you started with building a quote bot in Python. It's meant to be used along with the Learnin
nextPARS, a novel Illumina-based implementation of in-vitro parallel probing of RNA structures.
nextPARS, a novel Illumina-based implementation of in-vitro parallel probing of RNA structures. Here you will find the scripts necessary to produce th
A Kaggle competition: discriminate gender based on handwriting
Gender discrimination based on handwriting See http://fastml.com/gender-discrimination/ for description. prep_data.py - a first step chunk_by_authors.
Blackstone is a spaCy model and library for processing long-form, unstructured legal text
Blackstone Blackstone is a spaCy model and library for processing long-form, unstructured legal text. Blackstone is an experimental research project f
Grover is a model for Neural Fake News -- both generation and detectio
Grover is a model for Neural Fake News -- both generation and detection. However, it probably can also be used for other generation tasks.
A general python framework for visual object tracking and video object segmentation, based on PyTorch
PyTracking A general python framework for visual object tracking and video object segmentation, based on PyTorch. 📣 Two tracking/VOS papers accepted
A library for creating text-based graphs in the terminal
tplot is a Python package for creating text-based graphs. Useful for visualizing data to the terminal or log files.
Original Implementation of Prompt Tuning from Lester, et al, 2021
Prompt Tuning This is the code to reproduce the experiments from the EMNLP 2021 paper "The Power of Scale for Parameter-Efficient Prompt Tuning" (Lest
Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"
NCSR: Noise Conditional Flow Model for Learning the Super-Resolution Space Official NCSR training PyTorch Code for the CVPR2021 workshop paper "Noise
Code for the paper BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks
Biomedical Entity Linking This repo provides the code for the paper BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Res
The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight paper)
Official PyTorch implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 Spotlight Paper) Zhisheng
CO2Ampel - This RaspberryPi project uses weather data to estimate the share of renewable energy in the power grid
CO2Ampel This RaspberryPi project uses weather data to estimate the share of ren
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering This repository provides the source code of "Consensus Learning
To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.
To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.
Separation of Mainlobes and Sidelobes in the Ultrasound Image Based on the Spatial Covariance (MIST) and Aperture-Domain Spectrum of Received Signals
Separation of Mainlobes and Sidelobes in the Ultrasound Image Based on the Spatial Covariance (MIST) and Aperture-Domain Spectrum of Received Signals
ChaozzDBPy - A python implementation based on the original ChaozzDB from Chaozznl with some new features
ChaozzDBPy About ChaozzDBPy is a python implementation based on the original Cha
A novel dual model approach for categorization of unbalanced skin lesion image classes (Presented technical paper 📃)
A novel dual model approach for categorization of unbalanced skin lesion image classes (Presented technical paper 📃)
🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)" Unofficial PyTorch Implementation of Progressi
Finetune the base 64 px GLIDE-text2im model from OpenAI on your own image-text dataset
Finetune the base 64 px GLIDE-text2im model from OpenAI on your own image-text dataset
Basic browser based on PyQt5
goneDev-browser "basic browser based on PyQt5" This application is primarily built on macOS with more adaptibility for MacOS than Windows. v1.0 will s
A handy tool for common machine learning models' hyper-parameter tuning.
Common machine learning models' hyperparameter tuning This repo is for a collection of hyper-parameter tuning for "common" machine learning models, in
A CLI based task manager tool which helps you track your daily task and activity.
CLI based task manager tool This is the simple CLI tool can be helpful in increasing your productivity. More like your todolist. It uses Postgresql as
Based on Stockfish neural network(similar to LcZero)
MarcoEngine Marco Engine - interesnaya neyronnaya shakhmatnaya set', kotoraya ispol'zuyet metod samoobucheniya(dostizheniye khoroshoy igy putem proboy
A python snake game based on pygame.
PySnake A python snake game based on pygame. Requirements Package version pygame = 2.1.2 opencv-python = 4.5.1.48 Run Windows python main.py Linux &
Python package for caching HTTP response based on etag
Etag cache implementation for HTTP requests, to save request bandwidth for a non-modified response. Returns high-speed accessed dictionary data as cache.
This simple Python program calculates a love score based on your and your crush's full names in English
This simple Python program calculates a love score based on your and your crush's full names in English. There is no logic or reason in the calculation behind the love score. The calculation could have been anything different from what's shown in this code.
Plot toolbox based on Matplotlib, simple and elegant.
Elegant-Plot Plot toolbox based on Matplotlib, simple and elegant. 绘制效果 绘制过程 数据准备 每种图标类型的目录下有data.csv文件,依据样例数据填入自己的数据。
Python PID Tuner - Makes a model of the System from a Process Reaction Curve and calculates PID Gains
PythonPID_Tuner_SOPDT Step 1: Takes a Process Reaction Curve in csv format - assumes data at 100ms interval (column names CV and PV) Step 2: Makes a r
Caffe-like explicit model constructor. C(onfig)Model
cmodel Caffe-like explicit model constructor. C(onfig)Model Installation pip install git+https://github.com/bonlime/cmodel Usage In order to allow usi
The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach
The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach
A file-based quote bot written in Python
Let's Write a Python Quote Bot! This repository will get you started with building a quote bot in Python. It's meant to be used along with the Learnin
Official repository for the ICCV 2021 paper: UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model.
UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model Official repository for the ICCV 2021 paper: UltraPose: Syn
open source online judge based on Vue, Django and Docker
An onlinejudge system based on Python and Vue
Flow-based visual scripting for Python
A simple visual node editor for Python Ryven combines flow-based visual scripting with Python. It gives you absolute freedom for your nodes and a simp
A CNN model to detect hand gestures.
Software Used python - programming language used, tested on v3.8 miniconda - for managing virtual environment Libraries Used opencv - pip install open
In this project, we compared Spanish BERT and Multilingual BERT in the Sentiment Analysis task.
Applying BERT Fine Tuning to Sentiment Classification on Amazon Reviews Abstract Sentiment analysis has made great progress in recent years, due to th
Gender Classification Machine Learning Model using Sk-learn in Python with 97%+ accuracy and deployment
Gender-classification This is a ML model to classify Male and Females using some physical characterstics Data. Python Libraries like Pandas,Numpy and
Evil-stalker - A simple tool written in python, it is so simple that it is based on google dorks
evil-stalker How to run First of all, you must install the necessary libraries.
Wordle helper: help you print posible 5-character words based on you input
Wordle Helper This program help you print posible 5-character words based on you
Custom function scheduler TUI (text-based user interface) in the console
Custom function scheduler TUI (text-based user interface) in the console
A backend for mdbook in Python for generating PDF based on Chrome DevTools Protocol.
mdbook-pdf A backend for mdbook written in Python for generating PDF based on Chrome DevTools Protocol. Python library dependency Usage Put mdbook-pdf
converts nominal survey data into a numerical value based on a dictionary lookup.
SWAP RATE Converts nominal survey data into a numerical values based on a dictionary lookup. It allows the user to switch nominal scale data from text
Custom IMDB Dataset is extracted between 2020-2021 and custom distilBERT model is trained for movie success probability prediction
IMDB Success Predictor Project involves Web Scraping custom IMDB data between 2020 and 2021 of 10000 movies and shows sorted by number of votes ,fine
Adafruit IO connected smart thermostat based on CircuitPython.
Adafruit IO Thermostat Adafruit IO connected smart thermostat based on CircuitPython. Background and Motivation I have a 24 V Heat-only system with a
Synthesizer based on Conway's Game of Life
Conway Synth Synthesizer based on Conway's Game of Life Trying to avoid step sequencer fashions that have been done before and basing it on actual cel
Explicit, strict and automatic project version management based on semantic versioning.
Explicit, strict and automatic project version management based on semantic versioning. Getting started End users Semantic versioning Project version
SynapseML - an open source library to simplify the creation of scalable machine learning pipelines
Synapse Machine Learning SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. Sy
Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"
Pytorch Implementation of Augmenting Convolutional networks with attention-based aggregation This is the unofficial PyTorch Implementation of "Augment
Predicting 10 different clothing types using Xception pre-trained model.
Predicting-Clothing-Types Predicting 10 different clothing types using Xception pre-trained model from Keras library. It is reimplemented version from
Scripts used to make and evaluate OpenAlex's concept tagging model
openalex-concept-tagging This repository contains all of the code for getting the concept tagger up and running. To learn more about where this model
The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.
Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode
Terminal-based music player written in Python for the best music in the world 🎵 🎧 💻
audius-terminal-player Terminal-based music player written in Python for the best music in the world 🎵 🎧 💻 Browse and listen to Audius from the com
Official implementation of Sparse Transformer-based Action Recognition
STAR Official implementation of S parse T ransformer-based A ction R ecognition Dataset download NTU RGB+D 60 action recognition of 2D/3D skeleton fro
RETRO-pytorch - Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
RETRO - Pytorch (wip) Implementation of RETRO, Deepmind's Retrieval based Attent
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
CIFS This repository provides codes for CIFS (ICML 2021). CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Sel
OneShot Learning-based hotword detection.
EfficientWord-Net Hotword detection based on one-shot learning Home assistants require special phrases called hotwords to get activated (eg:"ok google
Reimplementation of Learning Mesh-based Simulation With Graph Networks
Pytorch Implementation of Learning Mesh-based Simulation With Graph Networks This is the unofficial implementation of the approach described in the pa
BeautyNet is an AI powered model which can tell you whether you're beautiful or not.
BeautyNet BeautyNet is an AI powered model which can tell you whether you're beautiful or not. Download Dataset from here:https://www.kaggle.com/gpios
Python-based implementation and comparison of strategies to guess words at Wordle
Solver and comparison of strategies for Wordle Motivation The goal of this repository is to compare, in terms of performance, strategies that minimize
A stock generator that assess a list of stocks and returns the best stocks for investing and money allocations based on users choices of volatility, duration and number of stocks
Stock-Generator Please visit "Stock Generator.ipynb" for a clearer view and "Stock Generator.py" for scripts. The stock generator is designed to allow
Deep learning transformer model that generates unique music sequences.
music-ai Deep learning transformer model that generates unique music sequences. Abstract In 2017, a new state-of-the-art was published for natural lan
Project for QVault Hackathon which plays sounds based on the letters of a user's name
virtual_instrument Project for QVault Hackathon which plays sounds based on the letters of a user's name I created a virtual instrument using Python a