715 Repositories
Python statistics-images Libraries
ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers
ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers Official implementation of ViewFormer. ViewFormer is a NeRF-free neural rend
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild
EMOCA: Emotion Driven Monocular Face Capture and Animation Radek Daněček · Michael J. Black · Timo Bolkart CVPR 2022 This repository is the official i
Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).
What is judgyprophet? judgyprophet is a Bayesian forecasting algorithm based on Prophet, that enables forecasting while using information known by the
Python package to generate image embeddings with CLIP without PyTorch/TensorFlow
imgbeddings A Python package to generate embedding vectors from images, using OpenAI's robust CLIP model via Hugging Face transformers. These image em
Generate images from texts. In Russian
ruDALL-E Generate images from texts pip install rudalle==1.1.0rc0 🤗 HF Models: ruDALL-E Malevich (XL) ruDALL-E Emojich (XL) (readme here) ruDALL-E S
Lightning ⚡️ fast forecasting with statistical and econometric models.
Nixtla Statistical ⚡️ Forecast Lightning fast forecasting with statistical and econometric models StatsForecast offers a collection of widely used uni
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
Best Data Science Resources Hey, Data Enthusiasts out there! Finally, after lots of requests from the community I finally came up with the best free D
🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
🤗 🖼️ HuggingPics Fine-tune Vision Transformers for anything using images found on the web. Check out the video below for a walkthrough of this proje
This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.
👏 Pre- requisites to Machine Learning
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Multi-Type-TD-TSR Check it out on Source Code of our Paper: Multi-Type-TD-TSR Extracting Tables from Document Images using a Multi-stage Pipeline for
Building a real-time environment using webcam frame division in OpenCV and classify cropped images using a fine-tuned vision transformers on hybryd datasets samples for facial emotion recognition.
Visual Transformer for Facial Emotion Recognition (FER) This project has the aim to build an efficient Visual Transformer for the Facial Emotion Recog
scene-linear test images
Scene-Referred Image Collection A collection of OpenEXR Scene-Referred images, encoded as max 2048px width, DWAA 80 compression. All exrs are encoded
A program that uses real statistics to choose the best times to bet on BloxFlip's crash gamemode
Bloxflip Smart Bet A program that uses real statistics to choose the best times to bet on BloxFlip's crash gamemode. https://bloxflip.com/crash. THIS
A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.
Image Classification in Python Implementing image classification in Flask using Keras. The VGG16 is a convolution neural network model architecture th
Simple Python script to download images and videos from public subreddits without using Reddit's API 😎
Subreddit Media Downloader Download images and videos from any public subreddit without using Reddit's API Made with ❤ by Nico 💬 About: This script a
STATS305C: Applied Statistics III (Spring, 2022)
STATS305C: Applied Statistics III Instructor: Scott Linderman TA: Matt MacKay, James Yang Term: Spring 2022 Stanford University Course Description: Pr
Doing the asl sign language classification on static images using graph neural networks.
SignLangGNN When GNNs 💜 MediaPipe. This is a starter project where I tried to implement some traditional image classification problem i.e. the ASL si
Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
Stat4ML Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP This is the first course from our trio courses: Statistics Foundatio
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
nvdiffrec Joint optimization of topology, materials and lighting from multi-view image observations as described in the paper Extracting Triangular 3D
PyTorch Implementation for "ForkGAN with SIngle Rainy NIght Images: Leveraging the RumiGAN to See into the Rainy Night"
ForkGAN with Single Rainy Night Images: Leveraging the RumiGAN to See into the Rainy Night By Seri Lee, Department of Engineering, Seoul National Univ
CLIPfa: Connecting Farsi Text and Images
CLIPfa: Connecting Farsi Text and Images OpenAI released the paper Learning Transferable Visual Models From Natural Language Supervision in which they
MAGMA - a GPT-style multimodal model that can understand any combination of images and language
MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning Authors repo (alphabetical) Constantin (CoEich), Mayukh (Mayukh
PromptDet: Expand Your Detector Vocabulary with Uncurated Images
PromptDet: Expand Your Detector Vocabulary with Uncurated Images Paper Website Introduction The goal of this work is to establish a scalable pipeline
This project contains the ClonedPerson dataset and code described in our paper "Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification".
ClonedPerson This is the official repository for the ClonedPerson project, which contains the ClonedPerson dataset and code described in our paper "Cl
Official implementation of "Watermarking Images in Self-Supervised Latent-Spaces"
🔍 Watermarking Images in Self-Supervised Latent-Spaces PyTorch implementation and pretrained models for the paper. For details, see Watermarking Imag
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data - Official PyTorch Implementation (CVPR 2022)
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data (CVPR 2022) Potentials of primitive shapes f
Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes / 3DCrowdNet News 💪 3DCrowdNet achieves the state-of-the-art accuracy on 3D
A Human-in-the-Loop workflow for creating HD images from text
A Human-in-the-Loop? workflow for creating HD images from text DALL·E Flow is an interactive workflow for generating high-definition images from text
A telegram bot written in Python to fetch random SFW & NSFW anime images
Tsuzumi A telegram bot written in python to fetch both random SFW & NSFW Anime images using nekos.life & waifu.pics API Commands SFW Commands : /
view cool stats related to your discord account.
DiscoStats cool statistics generated using your discord data. How? DiscoStats is not a service that breaks the Discord Terms of Service or Community G
Athena is the only tool that you will ever need to optimize your portfolio.
Athena Portfolio optimization is the process of selecting the best portfolio (asset distribution), out of the set of all portfolios being considered,
A way to store images in YAML.
YAMLImg A way to store images in YAML. I made this after seeing Roadcrosser's JSON-G because it was too inspiring to ignore this opportunity. Installa
Official implementation of "Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection" in CVPR 2022.
Jadena Official implementation of "Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection" in CVPR 2022. arXiv
Automatically updates the twitter banner with the images of 5 latest followers, using tweepy python
Auto twitter banner Automatically updates the twitter banner every few seconds with follower profile pics on it Here's how it looks! Installation git
Live Corona statistics and information site with flask.
Flask Live Corona Info Live Corona statistics and information site with flask. Tools Flask Scrapy Matplotlib How to Run Project Download Codes git clo
Imgrerite - A command-line tool to hide and reveal information inside images
ImgReRite A command line tool to hide and reveal information inside images (work
TwitterBot-ImageCollector - Twitter bot that collects images from likes saves the image
TwitterBot-ImageCollector Bot de Twitter que recolecta imagenes a partir de los
Detecting drunk people through thermal images using Deep Learning (CNN)
Drunk Detection CNN Detecting drunk people through thermal images using Deep Learning (CNN) Dataset We used thermal images provided by Electronics Lab
Everything you need to know about NumPy( Creating Arrays, Indexing, Math,Statistics,Reshaping).
Everything you need to know about NumPy( Creating Arrays, Indexing, Math,Statistics,Reshaping).
A command line tool to hide and reveal information inside images (works for both PNGs and JPGs)
Imgrerite A command line tool to hide and reveal information inside images (works for both PNGs and JPGs) Dependencies Python 3 Git Most of the Linux
A research of IT labor market based especially on hh.ru. Salaries, rate of technologies and etc.
hh_ru_research Проект реализован в учебных целях анализа рынка труда, в особенности по hh.ru Input data В качестве входных данных используются сериали
Emotion Recognition from Facial Images
Reconhecimento de Emoções a partir de imagens faciais Este projeto implementa um classificador simples que utiliza técncias de deep learning e transfe
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
Python package for concise, transparent, and accurate predictive modeling
Python package for concise, transparent, and accurate predictive modeling. All sklearn-compatible and easy to use. 📚 docs • 📖 demo notebooks Modern
Framework for Spectral Clustering on the Sparse Coefficients of Learned Dictionaries
Dictionary Learning for Clustering on Hyperspectral Images Overview Framework for Spectral Clustering on the Sparse Coefficients of Learned Dictionari
Pihole-eink-display - A simple Python script to display PiHole statistics on an eInk Display
Pihole-eink-display - A simple Python script to display PiHole statistics on an eInk Display
🖼️ Draw Images or GIFs in your terminal
Drawitor Draw Images/GIFs in your terminal. Install pip install drawitor CLI Tool drawitor cat_dancing.gif Library The library is written in a simple
Software for visualization of RTStruct structures on CT images
This script is responsible for the operation of the program, it is responsible for both creating the GUI and the process of processing images from dicom files. The program is based on the use of the PyQt5 library, on the basis of which the entire interface containing the appropriate buttons and functions was created.
A python Tk GUI that creates, writes text and attaches images into a custom spreadsheet file
A python Tk GUI that creates, writes text and attaches images into a custom spreadsheet file
Generate Cartoon Images using Generative Adversarial Network
AvatarGAN ✨ Generate Cartoon Images using DC-GAN Deep Convolutional GAN is a generative adversarial network architecture. It uses a couple of guidelin
Basic functions manipulating images using the OpenCV library
OpenCV Basic functions manipulating images using the OpenCV library. Reading Ima
RuCLIP tiny (Russian Contrastive Language–Image Pretraining) is a neural network trained to work with different pairs (images, texts).
RuCLIPtiny Zero-shot image classification model for Russian language RuCLIP tiny (Russian Contrastive Language–Image Pretraining) is a neural network
YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks
YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks.
Art directed cropping, useful for responsive images
Art direction sets a focal point and can be used when you need multiple copies of the same Image but also in in different proportions.
Tarstats - A simple Python commandline application that collects statistics about tarfiles
A simple Python commandline application that collects statistics about tarfiles.
Convolutional neural network that analyzes self-generated images in a variety of languages to find etymological similarities
This project is a convolutional neural network (CNN) that analyzes self-generated images in a variety of languages to find etymological similarities. Specifically, the goal is to prove that computer vision can be used to identify cognates known to exist, and perhaps lead linguists to evidence of unknown cognates.
JoplinPdf2Images - Converts a PDF to images in Joplin and adds it to the specified note as a printout
joplinPdf2Images Converts a PDF to images in Joplin and adds it to the specified
Python Script to generate posters out of the images in directory.
Poster-Maker Python Script to generate posters out of the images in directory. This version is very basic ligthweight code to combine organize images
Harmonious Textual Layout Generation over Natural Images via Deep Aesthetics Learning
Harmonious Textual Layout Generation over Natural Images via Deep Aesthetics Learning Code for the paper Harmonious Textual Layout Generation over Nat
An python script to convert images to upscaled versions made out of one-colour emojis.
ABOUT This is an python script to convert png, jpg and gif(output isnt animated :( ) images to scaled versions made out of one-colour emojis. Please n
Converting Images Into Minecraft Houses
Converting Images Into Minecraft Houses In this particular project, we turned a 2D Image into Minecraft pixel art and then scaled it in 3D such that i
Projeto de análise de dados com SQL
Project-Analizyng-International-Debt-Statistics- Projeto de análise de dados com SQL - Plataforma Data Camp Descrição do Projeto : Não é que nós human
A scrapy pipeline that provides an easy way to store files and images using various folder structures.
scrapy-folder-tree This is a scrapy pipeline that provides an easy way to store files and images using various folder structures. Supported folder str
A simple Security Camera created using Opencv in Python where images gets saved in realtime in your Dropbox account at every 5 seconds
Security Camera using Opencv & Dropbox This is a simple Security Camera created using Opencv in Python where images gets saved in realtime in your Dro
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊
RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. Unlike other versions of the model we use BERT for text encoder and SWIN transformer for image encoder.
ruCLIP-SB RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and re
plotly scatterplots which show molecule images on hover!
molplotly Plotly scatterplots which show molecule images on hovering over the datapoints! Required packages: pandas rdkit jupyter_dash ➡️ See example.
Search stock images (e.g. via Unsplash) and save them to your Wagtail image library.
Wagtail Stock Images Search stock images (e.g. via Unsplash) and save them to your Wagtail image library. Requirements Python 3 Django = 2 Wagtail =
Multi-label classification of retinal disorders
Multi-label classification of retinal disorders This is a deep learning course project. The goal is to develop a solution, using computer vision techn
Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation
CorrNet This project provides the code and results for 'Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation'
Change Detection in SAR Images Based on Multiscale Capsule Network
SAR_CD_MS_CapsNet Code for the paper "Change Detection in SAR Images Based on Multiscale Capsule Network" , IEEE Geoscience and Remote Sensing Letters
The open-source and free to use Python package miseval was developed to establish a standardized medical image segmentation evaluation procedure
miseval: a metric library for Medical Image Segmentation EVALuation The open-source and free to use Python package miseval was developed to establish
Vision transformers (ViTs) have found only limited practical use in processing images
CXV Convolutional Xformers for Vision Vision transformers (ViTs) have found only limited practical use in processing images, in spite of their state-o
Galaxy images labelled by morphology (shape). Aimed at ML development and teaching
Galaxy images labelled by morphology (shape). Aimed at ML debugging and teaching.
Style transfer between images was performed using the VGG19 model
Style transfer between images was performed using the VGG19 model. The necessary codes, libraries and all other information of this project are available below
This repository compare a selfie with images from identity documents and response if the selfie match.
aws-rekognition-facecompare This repository compare a selfie with images from identity documents and response if the selfie match. This code was made
Python based project to pull useful account statistics from the Algorand block chain.
PlanetWatchStats Python based project to pull useful account statistics from the Algorand block chain. Setup pip install -r requirements.txt Run pytho
Tools and Docker images to make a fast Ruby on Rails development environment
Tools and Docker images to make a fast Ruby on Rails development environment. With the production templates, moving from development to production will be seamless.
A client that allows a user, specifiy their discord token, to send images remotely to discord
ImageBot_for_Discord A client that allows a user, specifiy their discord token, to send images remotely to discord. Can select images using a file dia
FairLens is an open source Python library for automatically discovering bias and measuring fairness in data
FairLens FairLens is an open source Python library for automatically discovering bias and measuring fairness in data. The package can be used to quick
Multimodal Co-Attention Transformer (MCAT) for Survival Prediction in Gigapixel Whole Slide Images
Multimodal Co-Attention Transformer (MCAT) for Survival Prediction in Gigapixel Whole Slide Images [ICCV 2021] © Mahmood Lab - This code is made avail
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
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
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
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
It is an open dataset for object detection in remote sensing images.
RSOD-Dataset It is an open dataset for object detection in remote sensing images. The dataset includes aircraft, oiltank, playground and overpass. The
This is an API written in python that uses FastAPI. It is a simple API that can detect discord tokens in Images.
Welcome This is an API written in python that uses FastAPI. It is a simple API that can detect discord tokens in Images. Installation There are curren
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
A GUI application for cropping images from videos
v-trimming-gui A GUI application for cropping images from videos. 動画をシークバーで操作しながらスクリーンショットを撮るためのアプリ。 Requirement Python =3.7 opencv-python ^4.5.5 PyS
Convert HDR photos taken by iPhone 12 (or later) to regular HDR images
heif-hdrgainmap-decode Convert HDR photos taken by iPhone 12 (or later) to regular HDR images. Installation First, make sure you have the following pa
Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore
[AI6122] Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6122 of Semester 1, AY2021-2022, starting from 08/2021. The instructor of this course is Prof. Lu Shijian.
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences. Copula and functional Principle Component Analysis (fPCA) are statistical models that allow these properties to be simulated (Joe 2014). As such, copula generated data have shown potential to improve the generalization of machine learning (ML) emulators (Meyer et al. 2021) or anonymize real-data datasets (Patki et al. 2016).
ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions
ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions, in particular, the posterior distributions of Bayesian models in data science, Machine Learning, and scientific inference, with the design goal of unifying the automation (of Monte Carlo simulations), user-friendliness (of the library), accessibility (from multiple programming environments), high-performance (at runtime), and scalability (across many parallel processors).
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
Jupyter notebooks for the book "The Elements of Statistical Learning".
This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.
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 😃 More c
Haze Removal can remove slight to extreme cases of haze affecting an image
Haze Removal can remove slight to extreme cases of haze affecting an image. Its most typical use is for landscape photography where the haze causes low contrast and low saturation, but it can also be used to improve images taken during rainy and foggy conditions.
Fuzzware is a project for automated, self-configuring fuzzing of firmware images
Fuzzware Fuzzware is a project for automated, self-configuring fuzzing of firmware images. The idea of this project is to configure the memory ranges
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks? Artifact Detection/Correction - Offcial PyTorch Implementation This rep
Employs neural networks to classify images into four categories: ship, automobile, dog or frog
Neural Net Image Classifier Employs neural networks to classify images into four categories: ship, automobile, dog or frog Viterbi_1.py uses a classic