2595 Repositories
Python Digital-image-process-Basic-algorithm Libraries
A step-by-step tutorial for how to work with some of the most basic features of Nav2 using a Jupyter Notebook in a warehouse environment to create a basic application.
This project has a step-by-step tutorial for how to work with some of the most basic features of Nav2 using a Jupyter Notebook in a warehouse environment to create a basic application.
Polyfoto - Create image mosaics.
Polyfoto Create image mosaics. Showcase "Before and After Science" by Brian Eno "Scott 3" by Scott Walker Installation Clone this repository to your l
IMGUR5K handwriting set. It is a handwritten in-the-wild dataset, which contains challenging real world handwritten samples from different writers.The dataset is shared as a set of image urls with annotations. This code downloads the images and verifies the hash to the image to avoid data contamination.
IMGUR5K Handwriting Dataset To run the code for downloading the urls and generate corresponding annotations : Usage: python download_imgur5k.py --data
Text-to-Image generation
Generate vivid Images for Any (Chinese) text CogView is a pretrained (4B-param) transformer for text-to-image generation in general domain. Read our p
Tensorflow implementation of MIRNet for Low-light image enhancement
MIRNet Tensorflow implementation of the MIRNet architecture as proposed by Learning Enriched Features for Real Image Restoration and Enhancement. Lanu
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
LapDepth-release This repository is a Pytorch implementation of the paper "Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals" M
Aerial Single-View Depth Completion with Image-Guided Uncertainty Estimation (RA-L/ICRA 2020)
Aerial Depth Completion This work is described in the letter "Aerial Single-View Depth Completion with Image-Guided Uncertainty Estimation", by Lucas
[CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)
CAT arXiv Pytorch implementation of our method for compressing image-to-image models. Teachers Do More Than Teach: Compressing Image-to-Image Models Q
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation (CVPR 2021, oral presentation) CoCosNet v2: Full-Resolution Correspondence
nvitop, an interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management
An interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management.
Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch
Segformer - Pytorch Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch. Install $ pip install segformer-pytorch
Official PyTorch implementation of Less is More: Pay Less Attention in Vision Transformers.
Less is More: Pay Less Attention in Vision Transformers Official PyTorch implementation of Less is More: Pay Less Attention in Vision Transformers. By
A site devoted to celebrating to matching books with readers and readers with books. Inspired by the Readers' Advisory process in library science, Literati, and Stitch Fix.
Welcome to Readers' Advisory Greetings, fellow book enthusiasts! Visit Readers' Advisory! Menu Technologies Key Features Database Schema Front End Rou
A basic python project which replicates the functionalities on an 8 Ball.
Magic-8-Ball To the people who wish to make decisions using a Magic 8 Ball but can't get one? I gotchu. This is a basic python project which replicate
DOS-like OS for RP2040 basic microcontroller boards
Micropython DOS-like OS for RP2040 microcontroller boards. Check out the demo video at https://www.youtube.com/watch?v=Az_oiq8GE4Y To start the OS typ
This is a GUI based text and image messenger. Other functionalities will be added soon.
Pigeon-Messenger (Requires Python and Kivy) Pigeon is a GUI based text and image messenger using Kivy and Python. Currently the layout is built. Funct
Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models
Official PyTorch implementation for "On Fast Sampling of Diffusion Probabilistic Models". FastDPM generation on CIFAR-10, CelebA, and LSUN datasets. S
This is a Python Module For Encryption, Hashing And Other stuff
EnroCrypt This is a Python Module For Encryption, Hashing And Other Basic Stuff You Need, With Secure Encryption And Strong Salted Hashing You Can Do
Just a script for detecting the lanes in any car game (not just gta 5) with specific resolution and road design ( very basic and limited )
GTA-5-Lane-detection Just a script for detecting the lanes in any car game (not just gta 5) with specific resolution and road design ( very basic and
A Icon Maker GUI Made - Convert your image into icon ( .ico format ).
Icon-Maker-GUI A Icon Maker GUI Made Using Python 3.9.0 . It will take any image and convert it to ICO file, for web site favicon or Windows applicati
A simple in-process python scheduler library, designed to be integrated seamlessly with the `datetime` standard library.
scheduler A simple in-process python scheduler library, designed to be integrated seamlessly with the datetime standard library. Due to the support of
This package is for running the semantic SLAM algorithm using extracted planar surfaces from the received detection
Semantic SLAM This package can perform optimization of pose estimated from VO/VIO methods which tend to drift over time. It uses planar surfaces extra
PyTorch implementation of Pay Attention to MLPs
gMLP PyTorch implementation of Pay Attention to MLPs. Quickstart Clone this repository. git clone https://github.com/jaketae/g-mlp.git Navigate to th
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection This repository contains implementation of the
EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration
EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration Ruikang Xu, Zeyu Xiao, Jie Huang, Yueyi Zhang, Zhiwei Xiong. EDPN: Enhanced Deep Pyra
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification Created by Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Ch
This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"
Learning Invariant Representation for Unsupervised Image Restoration (CVPR 2020) Introduction This is an implementation for the paper "Learning Invari
To solve games using AI, we will introduce the concept of a game tree followed by minimax algorithm.
To solve games using AI, we will introduce the concept of a game tree followed by minimax algorithm.
SysInfo is an app developed in python which gives Basic System Info , and some detailed graphs of system performance .
SysInfo SysInfo is an app developed in python which gives Basic System Info , and some detailed graphs of system performance . Installation Download t
An esoteric visual language that takes image files as input based on a multi-tape turing machine, designed for compatibility with C.
vizh An esoteric visual language that takes image files as input based on a multi-tape turing machine, designed for compatibility with C. Overview Her
A simple programming language for manipulating images.
f-stop A simple programming language for manipulating images. Examples OPEN "image.png" AS image RESIZE image (300, 300) SAVE image "out.jpg" CLOSE im
Flask Implementation of a login page and some basic functionality.
login_page Flask Implementation of a login page and some basic functionality. How to Run $ chmod +x run.sh setup.sh $ # run setup.sh only if the datab
Rubik's cube assistant on Flask webapp
webcube Rubik's cube assistant on Flask webapp. This webapp accepts the six faces of your cube and gives you the voice instructions as a response. Req
SparseML is a libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
SparseML is a toolkit that includes APIs, CLIs, scripts and libraries that apply state-of-the-art sparsification algorithms such as pruning and quantization to any neural network. General, recipe-driven approaches built around these algorithms enable the simplification of creating faster and smaller models for the ML performance community at large.
Learned image compression
Overview Pytorch code of our recent work A Unified End-to-End Framework for Efficient Deep Image Compression. We first release the code for Variationa
Code for CVPR2021 "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai
Visualizing Adapted Knowledge in Domain Transfer @inproceedings{hou2021visualizing, title={Visualizing Adapted Knowledge in Domain Transfer}, auth
Deep Image Search - AI-Based Image Search Engine
Deep Image Search is an AI-based image search engine that includes deep transfer learning features Extraction and tree-based vectorized search technique.
Framework for joint representation learning, evaluation through multimodal registration and comparison with image translation based approaches
CoMIR: Contrastive Multimodal Image Representation for Registration Framework 🖼 Registration of images in different modalities with Deep Learning 🤖
Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal, multi-exposure and multi-focus image fusion.
U2Fusion Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal (VIS-IR, medical), multi
Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
CrossViT : Cross-Attention Multi-Scale Vision Transformer for Image Classification This is an unofficial PyTorch implementation of CrossViT: Cross-Att
Basic Python3 request wrapper for the PancakeSwap API
🐍 Python Pancakes 🥞 A simple request wrapper for the Pancake-Swap API. Installation Install package # Using pip $ pip install pythonpancakes # Or f
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Third party Pytorch implement of Image Processing Transformer (Pre-Trained Image Processing Transformer arXiv:2012.00364v2)
ImageProcessingTransformer Third party Pytorch implement of Image Processing Transformer (Pre-Trained Image Processing Transformer arXiv:2012.00364v2)
Medical Image Segmentation using Squeeze-and-Expansion Transformers
Medical Image Segmentation using Squeeze-and-Expansion Transformers Introduction This repository contains the code of the IJCAI'2021 paper 'Medical Im
A list of hyperspectral image super-solution resources collected by Junjun Jiang
A list of hyperspectral image super-resolution resources collected by Junjun Jiang. If you find that important resources are not included, please feel free to contact me.
The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020.
DS3L This is the code for paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020. Setups The code is implem
Multi-Output Gaussian Process Toolkit
Multi-Output Gaussian Process Toolkit Paper - API Documentation - Tutorials & Examples The Multi-Output Gaussian Process Toolkit is a Python toolkit f
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.
Trivial Augment This is the official implementation of TrivialAugment (https://arxiv.org/abs/2103.10158), as was used for the paper. TrivialAugment is
neurodsp is a collection of approaches for applying digital signal processing to neural time series
neurodsp is a collection of approaches for applying digital signal processing to neural time series, including algorithms that have been proposed for the analysis of neural time series. It also includes simulation tools for generating plausible simulations of neural time series.
Deep Image Search is an AI-based image search engine that includes deep transfor learning features Extraction and tree-based vectorized search.
Deep Image Search - AI-Based Image Search Engine Deep Image Search is an AI-based image search engine that includes deep transfer learning features Ex
Discord bot for calculating basic operations and formulas. (Early Development)
MathBot Discord bot for calculating basic operations and formulas. (Early Development) Commits Feel free to contribute to this bot by forking and pull
Extract MNIST handwritten digits dataset binary file into bmp images
MNIST-dataset-extractor Extract MNIST handwritten digits dataset binary file into bmp images More info at http://yann.lecun.com/exdb/mnist/ Dependenci
TikTok X-Gorgon & X-Khronos Generation Algorithm
TikTok X-Gorgon & X-Khronos Generation Algorithm X-Gorgon and X-Khronos headers are required to call tiktok api. I will provide you API as rental or s
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Image Crop Analysis This is a repo for the code used for reproducing our Image Crop Analysis paper as shared on our blog post. If you plan to use this
Code for Transformer Hawkes Process, ICML 2020.
Transformer Hawkes Process Source code for Transformer Hawkes Process (ICML 2020). Run the code Dependencies Python 3.7. Anaconda contains all the req
Non-Official Pytorch implementation of "Face Identity Disentanglement via Latent Space Mapping" https://arxiv.org/abs/2005.07728 Using StyleGAN2 instead of StyleGAN
Face Identity Disentanglement via Latent Space Mapping - Implement in pytorch with StyleGAN 2 Description Pytorch implementation of the paper Face Ide
PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"
Under construction... Attention in Attention Network for Image Super-Resolution (A2N) This repository is an PyTorch implementation of the paper "Atten
Image data augmentation scheduler for albumentations transforms
albu_scheduler Scheduler for albumentations transforms based on PyTorch schedulers interface Usage TransformMultiStepScheduler import albumentations a
A Joint Video and Image Encoder for End-to-End Retrieval
Frozen️ in Time ❄️ ️️️️ ⏳ A Joint Video and Image Encoder for End-to-End Retrieval (arXiv) Repository to contain the code, models, data for end-to-end
MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)
MASA-SR Official PyTorch implementation of our CVPR2021 paper MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Re
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image
Learning to Reconstruct 3D Manhattan Wireframes From a Single Image This repository contains the PyTorch implementation of the paper: Yichao Zhou, Hao
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models Description Recent research has shown that numerous human-interpretable
[CVPRW 2021] Code for Region-Adaptive Deformable Network for Image Quality Assessment
RADN [CVPRW 2021] Code for Region-Adaptive Deformable Network for Image Quality Assessment [Paper on arXiv] Overview Update [2021/5/7] add codes for W
Text to Image Generation with Semantic-Spatial Aware GAN
text2image This repository includes the implementation for Text to Image Generation with Semantic-Spatial Aware GAN This repo is not completely. Netwo
I tried to apply the CAM algorithm to YOLOv4 and it worked.
YOLOV4:You Only Look Once目标检测模型在pytorch当中的实现 2021年2月7日更新: 加入letterbox_image的选项,关闭letterbox_image后网络的map得到大幅度提升。 目录 性能情况 Performance 实现的内容 Achievement
A repo to automate the booking process for vaccinations
OntarioVaccineFormAutomaker A repo to automate the booking process for vaccinations Requirements Allow ALL sights to be able to know your location (on
A minimal Streamlit app showing how to launch and stop a FastAPI process on demand
Simple Streamlit + FastAPI Integration A minimal Streamlit app showing how to launch and stop a FastAPI process on demand. The FastAPI /run route simu
Find index entries in $INDEX_ALLOCATION attributes
INDXRipper Find index entries in $INDEX_ALLOCATION attributes Timeline created using mactime.pl on the combined output of INDXRipper and fls. See: sle
Code for Referring Image Segmentation via Cross-Modal Progressive Comprehension, CVPR2020.
CMPC-Refseg Code of our CVPR 2020 paper Referring Image Segmentation via Cross-Modal Progressive Comprehension. Shaofei Huang*, Tianrui Hui*, Si Liu,
A PaddlePaddle version image model zoo.
Paddle-Image-Models English | 简体中文 A PaddlePaddle version image model zoo. Install Package Install by pip: $ pip install ppim Install by wheel package
Simple GUI menu for micropython using a rotary encoder and basic display.
Micropython encoder based menu This is a simple menu system written in micropython. It uses a switch, a rotary encoder and an OLED display.
Implementation of Stochastic Image-to-Video Synthesis using cINNs.
Stochastic Image-to-Video Synthesis using cINNs Official PyTorch implementation of Stochastic Image-to-Video Synthesis using cINNs accepted to CVPR202
HINet: Half Instance Normalization Network for Image Restoration
HINet: Half Instance Normalization Network for Image Restoration Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, Chengpeng Chen Paper: https://arxiv.org
PyMatting: A Python Library for Alpha Matting
Given an input image and a hand-drawn trimap (top row), alpha matting estimates the alpha channel of a foreground object which can then be composed onto a different background (bottom row).
Python sample codes for robotics algorithms.
PythonRobotics Python codes for robotics algorithm. Table of Contents What is this? Requirements Documentation How to use Localization Extended Kalman
Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision This repo contains PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision. Usage : impo
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
RepMLP RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition Released the code of RepMLP together with an example o
Making the process of downloading youtube videos faster and more convinient.
Easy-YT Making the process of downloading youtube videos faster and more convinient. What can it do? This python script can be used to download youtub
Official implement of Paper:A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sening images
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images 深度监督影像融合网络DSIFN用于高分辨率双时相遥感影像变化检测 Of
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
FNet: Mixing Tokens with Fourier Transforms Pytorch implementation of Fnet : Mixing Tokens with Fourier Transforms. Citation: @misc{leethorp2021fnet,
CellProfiler is a open-source application for biological image analysis
CellProfiler is a free open-source software designed to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically.
Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and convert them into audio. Here I have used Google-text-to-speech library popularly known as gTTS library to convert text file to .mp3 file. Hope you like my project!
Text to speech (using Python) Text to speech is a process to convert any text into voice. Text to speech project takes words on digital devices and co
Purge your likes and wall comments from VKontakte. Set yourself free from your digital footprint.
vk_liberator Regain liberty in the cruel social media world. This program assists you with purging your metadata from Russian social network VKontakte
An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.
Federated Averaging (FedAvg) in PyTorch An unofficial implementation of FederatedAveraging (or FedAvg) algorithm proposed in the paper Communication-E
Implementation of ResMLP, an all MLP solution to image classification, in Pytorch
ResMLP - Pytorch Implementation of ResMLP, an all MLP solution to image classification out of Facebook AI, in Pytorch Install $ pip install res-mlp-py
This is the codebase for Diffusion Models Beat GANS on Image Synthesis.
This is the codebase for Diffusion Models Beat GANS on Image Synthesis.
This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.
CVZone This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe librar
A genetic algorithm written in Python for educational purposes.
Genea: A Genetic Algorithm in Python Genea is a Genetic Algorithm written in Python, for educational purposes. I started writing it for fun, while lea
Civsim is a basic civilisation simulation and modelling system built in Python 3.8.
Civsim Introduction Civsim is a basic civilisation simulation and modelling system built in Python 3.8. It requires the following packages: perlin_noi
Skepticoin is a peer-to-peer digital currency that enables you to send money online
What is Skepticoin? Skepticoin is a peer-to-peer digital currency that enables you to send money online. It's also the central community of people who
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
30 Days Of Machine Learning Using Pytorch Objective of the repository is to learn and build machine learning models using Pytorch. List of Algorithms
Vision Transformer for 3D medical image registration (Pytorch).
ViT-V-Net: Vision Transformer for Volumetric Medical Image Registration keywords: vision transformer, convolutional neural networks, image registratio
Official implementation of Deep Convolutional Dictionary Learning for Image Denoising.
DCDicL for Image Denoising Hongyi Zheng*, Hongwei Yong*, Lei Zhang, "Deep Convolutional Dictionary Learning for Image Denoising," in CVPR 2021. (* Equ
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
Deep learning based state estimation: incorporating Transformer and LSTM to Kalman Filter with EM algorithm Overview Kalman Filter requires the true p
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
UIS-RNN Overview This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm. UIS-RNN solves the problem of s
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN.
Ryan Murdock has done it again, combining OpenAI's CLIP and the generator from a BigGAN! This repository wraps up his work so it is easily accessible to anyone who owns a GPU.
An easier way to build neural search on the cloud
Jina is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.
A basic JSON-RPC implementation for your Flask-powered sites
Flask JSON-RPC A basic JSON-RPC implementation for your Flask-powered sites. Some reasons you might want to use: Simple, powerful, flexible and python
Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper
DTI-Sprites Pytorch implementation of "Unsupervised Layered Image Decomposition into Object Prototypes" paper Check out our paper and webpage for deta
CLEAR algorithm for multi-view data association
CLEAR: Consistent Lifting, Embedding, and Alignment Rectification Algorithm The Matlab, Python, and C++ implementation of the CLEAR algorithm, as desc