86 Repositories
Python back-propagation Libraries
Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"
BasicVSR_PlusPlus (CVPR 2022) [Paper] [Project Page] [Code] This is the official repository for BasicVSR++. Please feel free to raise issue related to
Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation
Official Code Implementation of The Paper : XAI for Transformers: Better Explanations through Conservative Propagation For the SST-2 and IMDB expermin
Library for converting from RGB / GrayScale image to base64 and back.
Library for converting RGB / Grayscale numpy images from to base64 and back. Installation pip install -U image_to_base_64 Conversion RGB to base 64 b
Forward Propagation, Backward Regression and Pose Association for Hand Tracking in the Wild (CVPR 2022)
HandLer This repository contains the code and data for the following paper: Forward Propagation, Backward Regression, and Pose Association for Hand Tr
[CVPR 2022] Back To Reality: Weak-supervised 3D Object Detection with Shape-guided Label Enhancement
Back To Reality: Weak-supervised 3D Object Detection with Shape-guided Label Enhancement Announcement 🔥 We have not tested the code yet. We will fini
An arduino/ESP project that can play back G-Force data previously recorded
An arduino/ESP project that can play back G-Force data previously recorded
Image2scan - a python program that can be applied on an image in order to get a scan of it back
image2scan Purpose image2scan is a python program that can be applied on an image in order to get a scan of it back. For this purpose, it searches for
Loopy belief propagation for factor graphs on discrete variables, in JAX!
PGMax implements general factor graphs for discrete probabilistic graphical models (PGMs), and hardware-accelerated differentiable loopy belief propagation (LBP) in JAX.
Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection
DDMP-3D Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection, a paper on CVPR2021. Instroduction T
This is the core of the program which takes 5k SYMBOLS and looks back N years to pull in the daily OHLC data of those symbols and saves them to disc.
This is the core of the program which takes 5k SYMBOLS and looks back N years to pull in the daily OHLC data of those symbols and saves them to disc.
Unity Propagation in Bayesian Networks Handling Inconsistency via Unity Smoothing
This repository contains the scripts needed to generate the results from the paper Unity Propagation in Bayesian Networks Handling Inconsistency via U
A script to find the people whom you follow, but they don't follow you back
insta-non-followers A script to find the people whom you follow, but they don't follow you back Dependencies: python3 libraries - instaloader, getpass
Learning to Segment Instances in Videos with Spatial Propagation Network
Learning to Segment Instances in Videos with Spatial Propagation Network This paper is available at the 2017 DAVIS Challenge website. Check our result
Tweesent-back - Tweesent backend uses fastAPI as the web framework
TweeSent Backend Tweesent backend. This repo uses fastAPI as the web framework.
BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python
BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python. Some of the algorithms included are mor
Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection
Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection This material is supplementray code for paper accepted in ICDAR 2021 We h
CLI tool that checks who does and who does not follow you back on Instagram
CLI tool that checks who does and who does not follow you back on Instagram. It also checks who you don't follow back on Instagram.
We simulate traveling back in time with a modern camera to rephotograph famous historical subjects.
[SIGGRAPH Asia 2021] Time-Travel Rephotography [Project Website] Many historical people were only ever captured by old, faded, black and white photos,
Firebase Admin Console is a centralized platform for easy viewing and maintenance of Firestore database, the back-end API is a Python Flask app.
Firebase Admin Console is a centralized platform for easy viewing and maintenance of Firestore database, the back-end API is a Python Flask app. A starting template for developers to customize, build, and even deploy the desired admin console for their DB.
Lending-Club-Loans - Using TensorFlow to create an ANN model to predict whether people would charge off or pay back their loans.
Lending Club Loans: Brief Introduction LendingClub is a US peer-to-peer lending company, headquartered in San Francisco, California.[3] It was the fir
Learning Saliency Propagation for Semi-supervised Instance Segmentation
Learning Saliency Propagation for Semi-supervised Instance Segmentation PyTorch Implementation This repository contains: the PyTorch implementation of
A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems
Label-Propagation-with-Augmented-Anchors (A2LP) Official codes of the ECCV2020 spotlight (label propagation with augmented anchors: a simple semi-supe
Unsupervised Representation Learning by Invariance Propagation
Unsupervised Learning by Invariance Propagation This repository is the official implementation of Unsupervised Learning by Invariance Propagation. Pre
Back-end API for the reternal framework
RE:TERNAL RE:TERNAL is a centralised purple team simulation platform. Reternal uses agents installed on a simulation network to execute various known
POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propagation including diffraction
POPPY: Physical Optics Propagation in Python POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propaga
Official repository for "Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring".
RNN-MBP Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring (AAAI-2022) by Chao Zhu, Hang Dong, Jinshan Pan
flask-reactize is a boostrap to serve any React JS application via a Python back-end, using Flask as web framework.
flask-reactize Purpose Developing a ReactJS application requires to use nodejs as back end server. What if you want to consume external APIs: how are
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021))
PTvsBT On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021) Citation Please cite a
A small game I made back in think 2011
Navi Network A small game I made back in think 2011. An online game inspired by the self-hosted nature of Minecraft, made with pygame, based on the Me
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer)
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer) Introduction By applying the
NORETURN is an esoteric programming language, based around the idea of not going back
NORETURN NORETURN is an esoteric programming language, based around the idea of not going back Concept Program coded in noreturn runs over one array,
A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
Layer-wise Relevance Propagation (LRP) in PyTorch Basic unsupervised implementation of Layer-wise Relevance Propagation (Bach et al., Montavon et al.)
[AAAI22] Reliable Propagation-Correction Modulation for Video Object Segmentation
Reliable Propagation-Correction Modulation for Video Object Segmentation (AAAI22) Preview version paper of this work is available at: https://arxiv.or
[AAAI22] Reliable Propagation-Correction Modulation for Video Object Segmentation
Reliable Propagation-Correction Modulation for Video Object Segmentation (AAAI22) Preview version paper of this work is available at: https://arxiv.or
Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection
CP-Cluster Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection, Instance Segme
Source code and dataset of the paper "Contrastive Adaptive Propagation Graph Neural Networks forEfficient Graph Learning"
CAPGNN Source code and dataset of the paper "Contrastive Adaptive Propagation Graph Neural Networks forEfficient Graph Learning" Paper URL: https://ar
Target Propagation via Regularized Inversion
Target Propagation via Regularized Inversion The present code implements an ideal formulation of target propagation using regularized inverses compute
Repo to store back end infrastructure for Message in a Bottle
Message in a Bottle Backend API RESTful API for Message in a Bottle frontend application consumption. About The Project • Tools Used • Local Set Up •
Official repository for Hierarchical Opacity Propagation for Image Matting
HOP-Matting Official repository for Hierarchical Opacity Propagation for Image Matting 🚧 🚧 🚧 Under Construction 🚧 🚧 🚧 🚧 🚧 🚧 Coming Soon
A neat little program to read the text from the "All Ten Fingers" program, and write them back.
ATFTyper A neat little program to read the text from the "All Ten Fingers" program, and write them back. How does it work? This program uses the Pillo
An account generator for guilded.gg that I made a while back and decided to bring back up
An account generator for guilded.gg that I made a while back and decided to bring back up
Scheme for training and applying a label propagation framework
Factorisation-based Image Labelling Overview This is a scheme for training and applying the factorisation-based image labelling (FIL) framework. Some
This is a simple Todo web application built Django (back-end) and React JS (front-end)
Django REST Todo app This is a simple Todo web application built with Django (back-end) and React JS (front-end). The project enables you to systemati
Some tentative models that incorporate label propagation to graph neural networks for graph representation learning in nodes, links or graphs.
Some tentative models that incorporate label propagation to graph neural networks for graph representation learning in nodes, links or graphs.
[CVPRW 2021] - Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
ObjProp Introduction This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Insta
This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation".
[CVPRW 2021] - Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
STBP is a way to train SNN with datasets by Backward propagation.
Spiking neural network (SNN), compared with depth neural network (DNN), has faster processing speed, lower energy consumption and more biological interpretability, which is expected to approach Strong AI.
Add the dislike count back to my YouTube videos via a comment containing that information.
YouTube Dislikes Forrest Knight Python Version 3.0+ Only use if you know what the code actually does. I'm not responsible for your use of this code in
Compile Binary Ninja's HLIL IR to LLVM, for purposes of compiling it back to a binary again.
Compiles BinaryNinja's HLIL to LLVM Approach Sweep binary for global variables, create them Sweep binary for (used?) external functions, declare those
Earth centric orbit propagation tool. Built from scratch in python.
Orbit-Propogator Earth centric orbit propagation tool. Built from scratch in python. Functionality includes: tracking sattelite location over time plo
Back to Basics: Efficient Network Compression via IMP
Back to Basics: Efficient Network Compression via IMP Authors: Max Zimmer, Christoph Spiegel, Sebastian Pokutta This repository contains the code to r
Explainable Medical ImageSegmentation via GenerativeAdversarial Networks andLayer-wise Relevance Propagation
MedAI: Transparency in Medical Image Segmentation What is this repo This repo contains the code and experiments that are implemented to contribute in
[NeurIPS 2021] "Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems"
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems Introduction Multi-agent control i
This is the fuzzer I made to fuzz Preview on macOS and iOS like 8years back when I just started fuzzing things.
Fuzzing PDFs like its 1990s This is the fuzzer I made to fuzz Preview on macOS and iOS like 8years back when I just started fuzzing things. Some discl
Back to Event Basics: SSL of Image Reconstruction for Event Cameras
Back to Event Basics: SSL of Image Reconstruction for Event Cameras Minimal code for Back to Event Basics: Self-Supervised Learning of Image Reconstru
This Lambda will Pull propagated routes from TGW and update VPC route table
AWS-Transitgateway-Route-Propagation This Lambda will Pull propagated routes from TGW and update VPC route table. Tested on python 3.8 Lambda AWS INST
Networkx with neo4j back-end
Dump networkx graph into nodes/relations TSV from neo4jnx.tsv import graph_to_tsv g = pklload('indranet_dir_graph.pkl') graph_to_tsv(g, 'docker/nodes.
Request ID propagation for ASGI apps
ASGI Correlation ID middleware Middleware for loading and receiving correlation IDs from request HTTP headers, and making them available in applicatio
A community effort to bring back Duino-Coin
Duino-Coin-Revived A community effort to bring back Duino-Coin! Along with reviving the cryptocurrency, we will add many improvements to it, including
meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
meProp The codes were used for the paper meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting (ICML 2017) [pdf]
Speeding-Up Back-Propagation in DNN: Approximate Outer Product with Memory
Approximate Outer Product Gradient Descent with Memory Code for the numerical experiment of the paper Speeding-Up Back-Propagation in DNN: Approximate
Cross-Domain Recommendation via Preference Propagation GraphNet.
PPGN Codes for CIKM 2019 paper Cross-Domain Recommendation via Preference Propagation GraphNet. Citation Please cite our paper if you find this code u
4K videos with annotated masks in our ICCV2021 paper 'Internal Video Inpainting by Implicit Long-range Propagation'.
Annotated 4K Videos paper | project website | code | demo video 4K videos with annotated object masks in our ICCV2021 paper: Internal Video Inpainting
This folder contains the implementation of the multi-relational attribute propagation algorithm.
MrAP This folder contains the implementation of the multi-relational attribute propagation algorithm. It requires the package pytorch-scatter. Please
lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
lookahead optimizer for pytorch PyTorch implement of Lookahead Optimizer: k steps forward, 1 step back Usage: base_opt = torch.optim.Adam(model.parame
This allows you to record keyboard and mouse input, and play it back using pynput.
Record and Play with Python! This allows you to record keyboard and mouse input, and play it back (with looping) using pynput. It allows for automatio
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
Implementation for our ICCV2021 paper: Internal Video Inpainting by Implicit Long-range Propagation
Implicit Internal Video Inpainting Implementation for our ICCV2021 paper: Internal Video Inpainting by Implicit Long-range Propagation paper | project
meProp: Sparsified Back Propagation for Accelerated Deep Learning
meProp The codes were used for the paper meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting (ICML 2017) [pdf]
[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
MonoRUn MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation. CVPR 2021. [paper] Hansheng Chen, Yuyao Huang, Wei Tian*
A python to scratch API connector. Can fetch data from the API and send it back in cloud variables.
Scratch2py Scratch2py or S2py is a easy to use, versatile tool to communicate with the Scratch API Based of scratchclient by Raihan142857 Installation
MPLP: Metapath-Based Label Propagation for Heterogenous Graphs
MPLP: Metapath-Based Label Propagation for Heterogenous Graphs Results on MAG240M Here, we demonstrate the following performance on the MAG240M datase
A tensorflow implementation of GCN-LPA
GCN-LPA This repository is the implementation of GCN-LPA (arXiv): Unifying Graph Convolutional Neural Networks and Label Propagation Hongwei Wang, Jur
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext
[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code :star2:. Semi-supervised video object segmentation evaluation.
MiVOS (CVPR 2021) - Mask Propagation Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang [arXiv] [Paper PDF] [Project Page] [Papers with Code] This repo impleme
(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
BRNet Introduction This is a release of the code of our paper Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds,
(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
BRNet Introduction This is a release of the code of our paper Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds,
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)
Back to the Feature with PixLoc We introduce PixLoc, a neural network for end-to-end learning of camera localization from an image and a 3D model via
Ralph is the CMDB / Asset Management system for data center and back office hardware.
Ralph Ralph is full-featured Asset Management, DCIM and CMDB system for data centers and back offices. Features: keep track of assets purchases and th
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext
A tool to convert AWS EC2 instances back and forth between On-Demand and Spot billing models.
ec2-spot-converter This tool converts existing AWS EC2 instances back and forth between On-Demand and 'persistent' Spot billing models while preservin
Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.
jsonpickle jsonpickle is a library for the two-way conversion of complex Python objects and JSON. jsonpickle builds upon the existing JSON encoders, s
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext
Safely pass trusted data to untrusted environments and back.
ItsDangerous ... so better sign this Various helpers to pass data to untrusted environments and to get it back safe and sound. Data is cryptographical
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext