4687 Repositories
Python Multiple-Exemplar-Based-Deep-Colorization Libraries
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
๐ค Random Luck Deep learning is acturally the alchemy. This repo provides a package to automatically select a random seed based on ancient Chinese Xua
Deep Learning for Natural Language Processing SS 2021 (TU Darmstadt)
Deep Learning for Natural Language Processing SS 2021 (TU Darmstadt) Task Training huge unsupervised deep neural networks yields to strong progress in
Sdf sparse conv - Deep Learning on SDF for Classifying Brain Biomarkers
Deep Learning on SDF for Classifying Brain Biomarkers To reproduce the results f
Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications
Labelbox Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. Use this github repository to help you s
CVAT is free, online, interactive video and image annotation tool for computer vision
Computer Vision Annotation Tool (CVAT) CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our
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 .
Simple and understandable swin-transformer OCR project
swin-transformer-ocr ocr with swin-transformer Overview Simple and understandable swin-transformer OCR project. The model in this repository heavily r
A library for benchmarking, developing and deploying deep learning anomaly detection algorithms
A library for benchmarking, developing and deploying deep learning anomaly detection algorithms Key Features โข Getting Started โข Docs โข License Introd
Awesome Transformers in Medical Imaging
This repo supplements our Survey on Transformers in Medical Imaging Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat,
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
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
List of awesome things around semantic segmentation ๐
Awesome Semantic Segmentation List of awesome things around semantic segmentation ๐ Semantic segmentation is a computer vision task in which we label
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Introduction This repository contains the modified caffe library and network architectures for our paper "Automated Melanoma Recognition in Dermoscopy
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
Repository features UNet inspired architecture used for segmenting lungs on chest X-Ray images
Lung Segmentation (2D) Repository features UNet inspired architecture used for segmenting lungs on chest X-Ray images. Demo See the application of the
Pre-trained models for a Cascaded-FCN in caffe and tensorflow that segments
Cascaded-FCN This repository contains the pre-trained models for a Cascaded-FCN in caffe and tensorflow that segments the liver and its lesions out of
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
ild-cnn This is supplementary material for the manuscript: "Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neur
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
Shield: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Deep Learning to Improve Breast
Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks
This is an implementation of Volodymyr Mnih's dissertation methods on his Massachusetts road & building dataset and my original methods that are publi
Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets
Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets (including obl
This repository contains code, network definitions and pre-trained models for working on remote sensing images using deep learning
Deep learning for Earth Observation This repository contains code, network definitions and pre-trained models for working on remote sensing images usi
๐ฐ๏ธ Awesome Satellite Imagery Datasets
Awesome Satellite Imagery Datasets List of aerial and satellite imagery datasets with annotations for computer vision and deep learning. Newest datase
Source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree.
self-driving-car In this repository I will share the source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree. Hope this might
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
Seg-Torch for Image Segmentation with Torch
Seg-Torch for Image Segmentation with Torch This work was sparked by my personal research on simple segmentation methods based on deep learning. It is
CN24 is a complete semantic segmentation framework using fully convolutional networks
Build status: master (production branch): develop (development branch): Welcome to the CN24 GitHub repository! CN24 is a complete semantic segmentatio
Segment axon and myelin from microscopy data using deep learning
Segment axon and myelin from microscopy data using deep learning. Written in Python. Using the TensorFlow framework. Based on a convolutional neural network architecture. Pixels are classified as either axon, myelin or background.
DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency
[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper) Authors: Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang PDF:
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
Natural Posterior Network This repository provides the official implementation o
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
Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline
Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline. The pipeline accepts english text as input and returns the French translation.
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
A deep neural networks for images using CNN algorithm.
Example-CNN-Project This is a simple project showing how to implement deep neural networks using CNN algorithm. The dataset is taken from this link: h
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
ESGD-M - A stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch
ESGD-M - A stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch
Trainspotting - Python Dependency Injector based on interface binding
Choose dependency injection Friendly with MyPy Supports lazy injections Supports
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
Real life contra a deep learning project built using mediapipe and openc
real-life-contra Description A python script that translates the body movement into in game control. Welcome to all new real life contra a deep learni
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
This repository contains several jupyter notebooks to help users learn to use neon, our deep learning framework
neon_course This repository contains several jupyter notebooks to help users learn to use neon, our deep learning framework. For more information, see
Dive into Machine Learning
Dive into Machine Learning Hi there! You might find this guide helpful if: You know Python or you're learning it ๐ You're new to Machine Learning You
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow with breakpoints + real-time visualization of the data flowing through the computational graph
TensorDebugger (TDB) is a visual debugger for deep learning. It extends TensorFlow (Google's Deep Learning framework) with breakpoints + real-time visualization of the data flowing through the computational graph.
This is an open solution to the Home Credit Default Risk challenge ๐ก
Home Credit Default Risk: Open Solution This is an open solution to the Home Credit Default Risk challenge ๐ก . More competitions ๐ Check collection
WATTS provides a set of Python classes that can manage simulation workflows for multiple codes where information is exchanged at a coarse level
WATTS (Workflow and Template Toolkit for Simulation) provides a set of Python classes that can manage simulation workflows for multiple codes where information is exchanged at a coarse level.
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently This repository is the official implementat
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.
Google AI Open Images - Object Detection Track: Open Solution
Google AI Open Images - Object Detection Track: Open Solution This is an open solution to the Google AI Open Images - Object Detection Track ๐ More c
TGS Salt Identification Challenge
TGS Salt Identification Challenge This is an open solution to the TGS Salt Identification Challenge. Note Unfortunately, we can no longer provide supp
Airbus Ship Detection Challenge
Airbus Ship Detection Challenge This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t
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 ยป View Demo ยท 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
Deep Learning: Architectures & Methods Project: Deep Learning for Audio Super-Resolution
Deep Learning: Architectures & Methods Project: Deep Learning for Audio Super-Resolution Figure: Example visualization of the method and baseline as a
Open solution to the Toxic Comment Classification Challenge
Starter code: Kaggle Toxic Comment Classification Challenge More competitions ๐ Check collection of public projects ๐ , 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. ๐ฅ ๐ Complete documentation: https://django-fbv
Deep Learning Topics with Computer Vision & NLP
Deep learning Udacity Course Deep Learning Topics with Computer Vision & NLP for the AWS Machine Learning Engineer Nanodegree Program Tasks are mostly
Extract gene length based on featureCount calculation gene nonredundant exon length method.
Extract gene length based on featureCount calculation gene nonredundant exon length method.
Deep Learning for Morphological Profiling
Deep Learning for Morphological Profiling An end-to-end implementation of a ML System for morphological profiling using self-supervised learning to di
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
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.
GNES enables large-scale index and semantic search for text-to-text, image-to-image, video-to-video and any-to-any content form
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Transformer in Vision
Transformer-in-Vision Recent Transformer-based CV and related works. Welcome to comment/contribute! Keep updated. Resource SCENIC: A JAX Library for C
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. ๐ฃ Two tracking/VOS papers accepted
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction. arxiv This repository contains python scripts for tr
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning (L2P) Official Jax Implementation L2P is a novel continual learning technique which learns to dynamically pr
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.
Tree Nested PyTorch Tensor Lib
DI-treetensor treetensor is a generalized tree-based tensor structure mainly developed by OpenDILab Contributors. Almost all the operation can be supp
FSL-Mate: A collection of resources for few-shot learning (FSL).
FSL-Mate is a collection of resources for few-shot learning (FSL). In particular, FSL-Mate currently contains FewShotPapers: a paper list which tracks
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification
GalaXC GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification @InProceedings{Saini21, author = {Saini, D. and Jain,
Circuit Training: An open-source framework for generating chip floor plans with distributed deep reinforcement learning
Circuit Training: An open-source framework for generating chip floor plans with distributed deep reinforcement learning. Circuit Training is an open-s
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
A python script for combining multiple native SU2 format meshes into one mesh file for multi-zone simulations.
A python script for combining multiple native SU2 format meshes into one mesh file for multi-zone simulations.
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
PrimaryBid - Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift
Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift This project is composed of two parts: Part1 and Part2
Pipeline for employing a Lightweight deep learning models for LOW-power systems
PL-LOW A high-performance deep learning model lightweight pipeline that gradually lightens deep neural networks in order to utilize high-performance d
Learn Machine Learning Algorithms by doing projects in Python and R Programming Language
Learn Machine Learning Algorithms by doing projects in Python and R Programming Language. This repo covers all aspect of Machine Learning Algorithms.
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
DeepFaceLive - Live Deep Fake in python, Real-time face swap for PC streaming or video calls
DeepFaceLive - Live Deep Fake in python, Real-time face swap for PC streaming or video calls
TJU Deep Learning & Neural Network
Deep_Learning & Neural_Network_Lab ๅฎ้ช็ฏๅข Python 3.9 Anaconda3(ๅฎ็ฝไธ่ฝฝๆๆธ ๅ้ๅ้ฝ่ก) PyTorch 1.10.1(ๅฎ่ฃ ไปฃ็ ๅฆไธ) conda install pytorch torchvision torchaudio cudatool
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 &