308 Repositories
Python sensor-guided-flow Libraries
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
Explainable CNNs 📦 Flexible visualization package for generating layer-wise explanations for CNNs. It is a common notion that a Deep Learning model i
Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)
E2FGVI (CVPR 2022) English | 简体中文 This repository contains the official implementation of the following paper: Towards An End-to-End Framework for Flo
[CVPR 2022] Deep Equilibrium Optical Flow Estimation
Deep Equilibrium Optical Flow Estimation This is the official repo for the paper Deep Equilibrium Optical Flow Estimation (CVPR 2022), by Shaojie Bai*
Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
03_Python_Flow_Control Introduction 👋 The control flow statements are an essential part of the Python programming language. A control flow statement
The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your own.
90_Python_Exercises_and_Challenges The best way to learn Python is by practicing examples. This repository contains the examples on basic and advance
Official PyTorch implementation of "RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on" (IJCAI-ECAI 2022)
RMGN-VITON RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on In IJCAI-ECAI 2022(short oral). [Paper] [Supplementary Material] Abstra
Towards Implicit Text-Guided 3D Shape Generation (CVPR2022)
Towards Implicit Text-Guided 3D Shape Generation Towards Implicit Text-Guided 3D Shape Generation (CVPR2022) Code for the paper [Towards Implicit Text
Scalable Optical Flow-based Image Montaging and Alignment
SOFIMA SOFIMA (Scalable Optical Flow-based Image Montaging and Alignment) is a tool for stitching, aligning and warping large 2d, 3d and 4d microscopy
A Real-ESRGAN equipped Colab notebook for CLIP Guided Diffusion
#360Diffusion automatically upscales your CLIP Guided Diffusion outputs using Real-ESRGAN. Latest Update: Alpha 1.61 [Main Branch] - 01/11/22 Layout a
A symbolic-model-guided fuzzer for TLS
tlspuffin TLS Protocol Under FuzzINg A symbolic-model-guided fuzzer for TLS Master Thesis | Thesis Presentation | Documentation Disclaimer: The term "
This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).
MoEBERT This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022). Installation Create an
Sound-guided Semantic Image Manipulation - Official Pytorch Code (CVPR 2022)
🔉 Sound-guided Semantic Image Manipulation (CVPR2022) Official Pytorch Implementation Sound-guided Semantic Image Manipulation IEEE/CVF Conference on
Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022
This is our implementation for the paper: Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation Xiaokun Zhang, Bo
Provide baselines and evaluation metrics of the task: traffic flow prediction
Note: This repo is adpoted from https://github.com/UNIMIBInside/Smart-Mobility-Prediction. Due to technical reasons, I did not fork their code. Introd
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning This repository is official Tensorflow implementation of paper: Ensemb
[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
Exploring the Dual-task Correlation for Pose Guided Person Image Generation
Dual-task Pose Transformer Network The source code for our paper "Exploring Dual-task Correlation for Pose Guided Person Image Generation“ (CVPR2022)
GEA - Code for Guided Evolution for Neural Architecture Search
Efficient Guided Evolution for Neural Architecture Search Usage Create a conda e
RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation YouTube | BiliBili 16X interpolation results from two input images: Introd
A rubiks cube timer using a distance sensor and a raspberry pi 4, and possibly the pi pico to reduce size and cost.
distance sensor cube timer A rubiks cube timer using a distance sensor and a raspberry pi 4, and possibly the pi pico to reduce size and cost. How to
Tensorflow 2 implementation of our high quality frame interpolation neural network
FILM: Frame Interpolation for Large Scene Motion Project | Paper | YouTube | Benchmark Scores Tensorflow 2 implementation of our high quality frame in
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking This is an official implementation for NEAS presented in CVPR
SAGE: Sensitivity-guided Adaptive Learning Rate for Transformers
SAGE: Sensitivity-guided Adaptive Learning Rate for Transformers This repo contains our codes for the paper "No Parameters Left Behind: Sensitivity Gu
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics
[AAAI2022] Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics Overall pipeline of OCN. Paper Link: [arXiv] [AAAI
Official implementation for paper Render In-between: Motion Guided Video Synthesis for Action Interpolation
Render In-between: Motion Guided Video Synthesis for Action Interpolation [Paper] [Supp] [arXiv] [4min Video] This is the official Pytorch implementat
A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
StyleGAN3 CLIP-based guidance StyleGAN3 + CLIP StyleGAN3 + inversion + CLIP This repo is a collection of Jupyter notebooks made to easily play with St
Generative Flow Networks for Discrete Probabilistic Modeling
Energy-based GFlowNets Code for Generative Flow Networks for Discrete Probabilistic Modeling by Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Vo
This Open-Source project is great for sensor capture and storage solutions.
Phase 1 This project helps developers in the creation of extended realities that communicate with Arduino and require the security of blockchain stora
This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transformer"
FlatTN This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transfor
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
Neural Scene Flow Fields PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes", CVPR 2021 [Projec
Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search
A Pose Estimator for Dense Reconstruction with the Structured Light Illumination Sensor
Phase-SLAM A Pose Estimator for Dense Reconstruction with the Structured Light Illumination Sensor This open source is written by MATLAB Run Mode Open
Improved Fitness Optimization Landscapes for Sequence Design
ReLSO Improved Fitness Optimization Landscapes for Sequence Design Description Citation How to run Training models Original data source Description In
Fast and exact ILP-based solvers for the Minimum Flow Decomposition (MFD) problem, and variants of it.
MFD-ILP Fast and exact ILP-based solvers for the Minimum Flow Decomposition (MFD) problem, and variants of it. The solvers are implemented using Pytho
Pytorch implement of 'Unmixing based PAN guided fusion network for hyperspectral imagery'
Pgnet There's a improved version compared with the publication in Tgrs with the modification in the deduction of the PDIN block: https://arxiv.org/abs
Scikit-event-correlation - Event Correlation and Forecasting over High Dimensional Streaming Sensor Data algorithms
scikit-event-correlation Event Correlation and Changing Detection Algorithm Theo
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs This is the code for the LERP. Dataset The dataset used is MI
PyTorch implemention of ICCV'21 paper SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation
SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation This is the PyTorch implemention of ICCV'21 paper SGPA: Structure
JavaScript Raider is a coverage-guided JavaScript fuzzing framework designed for the v8 JavaScript engine
JavaScript Raider is a coverage-guided JavaScript fuzzing framework designed for the v8 JavaScript engine
TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning
TransZero++ This repository contains the testing code for the paper "TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning" submitted
E-RAFT: Dense Optical Flow from Event Cameras
E-RAFT: Dense Optical Flow from Event Cameras This is the code for the paper E-RAFT: Dense Optical Flow from Event Cameras by Mathias Gehrig, Mario Mi
KGDet: Keypoint-Guided Fashion Detection (AAAI 2021)
KGDet: Keypoint-Guided Fashion Detection (AAAI 2021) This is an official implementation of the AAAI-2021 paper "KGDet: Keypoint-Guided Fashion Detecti
Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"
NCSR: Noise Conditional Flow Model for Learning the Super-Resolution Space Official NCSR training PyTorch Code for the CVPR2021 workshop paper "Noise
Flow-based visual scripting for Python
A simple visual node editor for Python Ryven combines flow-based visual scripting with Python. It gives you absolute freedom for your nodes and a simp
[SIGGRAPH Asia 2021] Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN
Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN [Paper] [Project Website] [Output resutls] Official Pytorch i
Dimension Reduced Turbulent Flow Data From Deep Vector Quantizers
Dimension Reduced Turbulent Flow Data From Deep Vector Quantizers This is an implementation of A Physics-Informed Vector Quantized Autoencoder for Dat
Guided Internet-delivered Cognitive Behavioral Therapy Adherence Forecasting
Guided Internet-delivered Cognitive Behavioral Therapy Adherence Forecasting #Dataset The folder "Dataset" contains the dataset use in this work and m
Codes to calculate solar-sensor zenith and azimuth angles directly from hyperspectral images collected by UAV. Works only for UAVs that have high resolution GNSS/IMU unit.
UAV Solar-Sensor Angle Calculation Table of Contents About The Project Built With Getting Started Prerequisites Installation Datasets Contributing Lic
OBG-FCN - implementation of 'Object Boundary Guided Semantic Segmentation'
OBG-FCN This repository is to reproduce the implementation of 'Object Boundary Guided Semantic Segmentation' in http://arxiv.org/abs/1603.09742 Object
Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection
An official implementation of paper Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection
El Niño - Southern Oscillation analysis compared to minimum flow rates of rivers in northeast Brazil
ENSO (El Niño - Southern Oscillation) analysis in northeast Brazil É comprovada a influência dos fenômenos El Niño e La Niña nas secas no nordesde bra
Tzer: TVM Implementation of "Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation (OOPSLA'22)“.
Artifact • Reproduce Bugs • Quick Start • Installation • Extend Tzer Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation This is the s
Python apps to assist with Gas Blending
Welcome to DiveTools Gas Blending This tool is for testing and educational use. It is not intended to confirm the mix of breathing gases. If this tool
Count the number of people around you 👨👨👦 by monitoring wifi signals 📡 .
howmanypeoplearearound Count the number of people around you 👨👨👦 by monitoring wifi signals 📡 . howmanypeoplearearound calculates the number of
Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data
1 Meta-FDMIxup Repository for the paper : Meta-FDMixup: Cross-Domain Few-Shot Learning Guided byLabeled Target Data. (ACM MM 2021) paper News! the rep
Prior-Guided Multi-View 3D Head Reconstruction
Prior-Guided Head MVS This repository includes some reconstruction results of our IEEE TMM 2021 paper, Prior-Guided Multi-View 3D Head Reconstruction.
The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals
Wearables Development Toolkit (WDK) The Wearables Development Toolkit (WDK) is a framework and set of tools to facilitate the iterative development of
Generate code from JSON schema files
json-schema-codegen Generate code from JSON schema files. Table of contents Introduction Currently supported languages Requirements Installation Usage
Learnable Boundary Guided Adversarial Training (ICCV2021)
Learnable Boundary Guided Adversarial Training This repository contains the implementation code for the ICCV2021 paper: Learnable Boundary Guided Adve
HandFoldingNet ✌️ : A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
HandFoldingNet ✌️ : A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton Wencan Cheng, Jae Hyun Park, Jong
Full body anonymization - Realistic Full-Body Anonymization with Surface-Guided GANs
Realistic Full-Body Anonymization with Surface-Guided GANs This is the official
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
PySDM PySDM is a package for simulating the dynamics of population of particles. It is intended to serve as a building block for simulation systems mo
DeepLearning Anomalies Detection with Bluetooth Sensor Data
Final Year Project. Constructing models to create offline anomalies detection using Travel Time Data collected from Bluetooth sensors along the route.
Super Pix Adv - Offical implemention of Robust Superpixel-Guided Attentional Adversarial Attack (CVPR2020)
Super_Pix_Adv Offical implemention of Robust Superpixel-Guided Attentional Adver
"Learning Free Gait Transition for Quadruped Robots vis Phase-Guided Controller"
PhaseGuidedControl The current version is developed based on the old version of RaiSim series, and possibly requires further modification. It will be
CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
CoMoGAN: Continuous Model-guided Image-to-Image Translation Official repository. Paper CoMoGAN: continuous model-guided image-to-image translation [ar
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation AniGAN: Style-Guided Generative Adversarial Networks for U
[ACM MM 2019 Oral] Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
Contents Cycle-In-Cycle GANs Installation Dataset Preparation Generating Images Using Pretrained Model Train and Test New Models Acknowledgments Relat
Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control
Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control.
Automatic Watering System using Soil Moisture Sensor and RTC Timer with Arduino
Automatic-Watering-System - Technical Answers to Real-World Problems. Evolution of Watering Manually to Watering Automatically.
The official MegEngine implementation of the ICCV 2021 paper: GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning
[ICCV 2021] GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning This is the official implementation of our ICCV2021 paper GyroFlow. Our pres
PyTorch implementation of the Flow Gaussian Mixture Model (FlowGMM) model from our paper
Flow Gaussian Mixture Model (FlowGMM) This repository contains a PyTorch implementation of the Flow Gaussian Mixture Model (FlowGMM) model from our pa
A NASA MEaSUREs project to provide automated, low latency, global glacier flow and elevation change datasets
Notebooks A NASA MEaSUREs project to provide automated, low latency, global glacier flow and elevation change datasets This repository provides tools
The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
Block Modeling-Guided Graph Convolutional Neural Networks This repository contains the demo code of the paper: Block Modeling-Guided Graph Convolution
Self-Guided Contrastive Learning for BERT Sentence Representations
Self-Guided Contrastive Learning for BERT Sentence Representations This repository is dedicated for releasing the implementation of the models utilize
Unofficial PyTorch implementation of Guided Dropout
Unofficial PyTorch implementation of Guided Dropout This is a simple implementation of Guided Dropout for research. We try to reproduce the algorithm
A short term landscape evolution using a path sampling method to solve water and sediment flow continuity equations and model mass flows over complex topographies.
r.sim.terrain A short-term landscape evolution model that simulates topographic change for both steady state and dynamic flow regimes across a range o
Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab
VQGAN-CLIP-Video cat.mp4 policeman.mp4 schoolboy.mp4 forsenBOG.mp4
A flexible data historian based on InfluxDB, Grafana, MQTT and more. Free, open, simple.
Kotori Telemetry data acquisition and sensor networks for humans. Documentation: https://getkotori.org/ Source Code: https://github.com/daq-tools/koto
Terkin is a flexible data logger application for MicroPython and CPython environments.
Terkin Data logging for humans, written in MicroPython. Documentation: https://terkin.org/ Source Code: https://github.com/hiveeyes/terkin-datalogger
Gas detection for Raspberry Pi using ADS1x15 and MQ-2 sensors
Gas detection Gas detection for Raspberry Pi using ADS1x15 and MQ-2 sensors. Description The MQ-2 sensor can detect multiple gases (CO, H2, CH4, LPG,
Official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.
GLIDE This is the official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing w
TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning
TransZero++ This repository contains the testing code for the paper "TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning" submitted
signac-flow - manage workflows with signac
signac-flow - manage workflows with signac The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, a
A Python concurrency scheduling library, compatible with asyncio and trio.
aiometer aiometer is a Python 3.6+ concurrency scheduling library compatible with asyncio and trio and inspired by Trimeter. It makes it easier to exe
🌎 The Modern Declarative Data Flow Framework for the AI Empowered Generation.
🌎 JSONClasses JSONClasses is a declarative data flow pipeline and data graph framework. Official Website: https://www.jsonclasses.com Official Docume
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Contents Local and Global GAN Cross-View Image Translation Semantic Image Synthesis Acknowledgments Related Projects Citation Contributions Collaborat
Code for CVPR 2018 paper --- Texture Mapping for 3D Reconstruction with RGB-D Sensor
G2LTex This repository contains the implementation of "Texture Mapping for 3D Reconstruction with RGB-D Sensor (CVPR2018)" based on mvs-texturing. Due
Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
VCN: Volumetric correspondence networks for optical flow [project website] Requirements python 3.6 pytorch 1.1.0-1.3.0 pytorch correlation module (opt
Python package for analyzing sensor-collected human motion data
Python package for analyzing sensor-collected human motion data
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett*, Bryan Chan*,
This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"
Occupancy Flow This repository contains the code for the project Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics. You can find detail
Code for paper Novel View Synthesis via Depth-guided Skip Connections
Novel View Synthesis via Depth-guided Skip Connections Code for paper Novel View Synthesis via Depth-guided Skip Connections @InProceedings{Hou_2021_W
Flow is a computational framework for deep RL and control experiments for traffic microsimulation.
Flow Flow is a computational framework for deep RL and control experiments for traffic microsimulation. See our website for more information on the ap
BMP180 sensor driver for Home Assistant used in Raspberry Pi
BMP180 sensor driver for Home Assistant used in Raspberry Pi Custom component BMP180 sensor for Home Assistant. Copy the content of this directory to
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code
TRACER: Extreme Attention Guided Salient Object Tracing Network implementation in PyTorch
TRACER: Extreme Attention Guided Salient Object Tracing Network This paper was accepted at AAAI 2022 SA poster session. Datasets All datasets are avai
A repository built on the Flow software package to explore cyber-security attacks on intelligent transportation systems.
A repository built on the Flow software package to explore cyber-security attacks on intelligent transportation systems.
📖 Deep Attentional Guided Image Filtering
📖 Deep Attentional Guided Image Filtering [Paper] Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao ,Xiangyang Ji Harbin Institute of Technology,