270 Repositories
Python dynamic-selection Libraries
OcclusionFusion: realtime dynamic 3D reconstruction based on single-view RGB-D
OcclusionFusion (CVPR'2022) Project Page | Paper | Video Overview This repository contains the code for the CVPR 2022 paper OcclusionFusion, where we
This repository contains all the data analytics projects that I've worked on in python.
93_Python_Data_Analytics_Projects This repository contains all the data analytics projects that I've worked on in python. No. Name 01 001_Cervical_Can
[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
DAB-DETR This is the official pytorch implementation of our ICLR 2022 paper DAB-DETR. Authors: Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi
Boilerplate template formwork for a Python Flask application with Mysql,Build dynamic websites rapidly.
Overview English | 简体中文 How to Build dynamic web rapidly? We choose Formwork-Flask. Formwork is a highly packaged Flask Demo. It's intergrates various
Unsupervised phone and word segmentation using dynamic programming on self-supervised VQ features.
Unsupervised Phone and Word Segmentation using Vector-Quantized Neural Networks Overview Unsupervised phone and word segmentation on speech data is pe
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
DeepXF: Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model Also, verify TS signal similarities
SelectionSortVisualization - This pygame project is helping you to understand the selection sorting algorithm
SelectionSortVisualization (If you have any comments or suggestion, please conta
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration
This repo is for the paper: Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration The DAC environment is based on the Dynam
This repository contains the source code of Auto-Lambda and baselines from the paper, Auto-Lambda: Disentangling Dynamic Task Relationships.
Auto-Lambda This repository contains the source code of Auto-Lambda and baselines from the paper, Auto-Lambda: Disentangling Dynamic Task Relationship
Different steganography methods with examples and my own small image database
literally-the-most-useless-project [Different steganography methods with examples and my own small image database] This project currently contains thr
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
Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties
Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties 8.11.2021 Andrij Vasylenko I
Nested cross-validation is necessary to avoid biased model performance in embedded feature selection in high-dimensional data with tiny sample sizes
Pruner for nested cross-validation - Sphinx-Doc Nested cross-validation is necessary to avoid biased model performance in embedded feature selection i
Shape-Adaptive Selection and Measurement for Oriented Object Detection
Source Code of AAAI22-2171 Introduction The source code includes training and inference procedures for the proposed method of the paper submitted to t
Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification and Phonemetic Analysis
TDY-CNN for Text-Independent Speaker Verification Official implementation of Temporal Dynamic Convolutional Neural Network for Text-Independent Speake
Evaluate on three different ML model for feature selection using Breast cancer data.
Anomaly-detection-Feature-Selection Evaluate on three different ML model for feature selection using Breast cancer data. ML models: SVM, KNN and MLP.
Pytorch implementation of various High Dynamic Range (HDR) Imaging algorithms
Deep High Dynamic Range Imaging Benchmark This repository is the pytorch impleme
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
[ICLR 2022] Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity by Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
clustering moroccan stocks time series data using k-means with dtw (dynamic time warping)
Moroccan Stocks Clustering Context Hey! we don't always have to forecast time series am I right ? We use k-means to cluster about 70 moroccan stock pr
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
A face dataset generator with out-of-focus blur detection and dynamic interval adjustment.
A face dataset generator with out-of-focus blur detection and dynamic interval adjustment.
Hyperparameters tuning and features selection are two common steps in every machine learning pipeline.
shap-hypetune A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. Overview Hyperparameters t
GUI to enable user selection of measurement and station in kHTConnector module.
kHTGui GUI to enable user selection of measurement and station in kHTConnector module. Helper tool for PowerBI users If you're planning to import data
Dynamic vae - Dynamic VAE algorithm is used for anomaly detection of battery data
Dynamic VAE frame Automatic feature extraction can be achieved by probability di
Human Dynamics from Monocular Video with Dynamic Camera Movements
Human Dynamics from Monocular Video with Dynamic Camera Movements Ri Yu, Hwangpil Park and Jehee Lee Seoul National University ACM Transactions on Gra
AIDynamicTextReader - A simple dynamic text reader based on Artificial intelligence
AI Dynamic Text Reader: This is a simple dynamic text reader based on Artificial
Dynamic Token Normalization Improves Vision Transformers
Dynamic Token Normalization Improves Vision Transformers This is the PyTorch implementation of the paper Dynamic Token Normalization Improves Vision T
This project is an Algorithm Visualizer where a user can visualize algorithms like Bubble Sort, Merge Sort, Quick Sort, Selection Sort, Linear Search and Binary Search.
Algo_Visualizer This project is an Algorithm Visualizer where a user can visualize common algorithms like "Bubble Sort", "Merge Sort", "Quick Sort", "
Official PyTorch Implementation of paper EAN: Event Adaptive Network for Efficient Action Recognition
Official PyTorch Implementation of paper EAN: Event Adaptive Network for Efficient Action Recognition
Dynamic Head: Unifying Object Detection Heads with Attentions
Dynamic Head: Unifying Object Detection Heads with Attentions dyhead_video.mp4 This is the official implementation of CVPR 2021 paper "Dynamic Head: U
Plux - A dynamic code loading framework for building plugable Python distributions
Plux plux is the dynamic code loading framework used in LocalStack. Overview The
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
CIFS This repository provides codes for CIFS (ICML 2021). CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Sel
An easy-to-learn, dynamic, interpreted, procedural programming language
Gen Programming Language WARNING!! THIS LANGUAGE IS IN DEVELOPMENT. ANYTHING CAN CHANGE AT ANY MOMENT. Gen is a dynamic, interpreted, procedural progr
Semi-Automated Data Processing
Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meaningful decision to achieve a low-bias and low-variance model.
R-package accompanying the paper "Dynamic Factor Model for Functional Time Series: Identification, Estimation, and Prediction"
dffm The goal of dffm is to provide functionality to apply the methods developed in the paper “Dynamic Factor Model for Functional Time Series: Identi
Python library for the analysis of dynamic measurements
Python library for the analysis of dynamic measurements The goal of this library is to provide a starting point for users in metrology and related are
Python port of R's Comprehensive Dynamic Time Warp algorithm package
Welcome to the dtw-python package Comprehensive implementation of Dynamic Time Warping algorithms. DTW is a family of algorithms which compute the loc
Quantify the difference between two arbitrary curves in space
similaritymeasures Quantify the difference between two arbitrary curves Curves in this case are: discretized by inidviudal data points ordered from a
Python package for dynamic system estimation of time series
PyDSE Toolset for Dynamic System Estimation for time series inspired by DSE. It is in a beta state and only includes ARMA models right now. Documentat
Regularization and Feature Selection in Least Squares Temporal Difference Learning
Regularization and Feature Selection in Least Squares Temporal Difference Learning Description This is Python implementations of Least Angle Regressio
A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition The source codes for ICCV2021 Paper: Spatio-Temporal Dynamic Inference Networ
An analysis tool for Python that blurs the line between testing and type systems.
CrossHair An analysis tool for Python that blurs the line between testing and type systems. THE LATEST NEWS: Check out the new crosshair cover command
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
📈 Automated Time Series Forecasting Background: This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to gene
torchsummaryDynamic: support real FLOPs calculation of dynamic network or user-custom PyTorch ops
torchsummaryDynamic Improved tool of torchsummaryX. torchsummaryDynamic support real FLOPs calculation of dynamic network or user-custom PyTorch ops.
Tensorflow-seq2seq-tutorials - Dynamic seq2seq in TensorFlow, step by step
seq2seq with TensorFlow Collection of unfinished tutorials. May be good for educational purposes. 1 - simple sequence-to-sequence model with dynamic u
A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules
CapsNet-Tensorflow A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules Notes: The current version
PathPlanning - Common used path planning algorithms with animations.
Overview This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algori
50-days-of-Statistics-for-Data-Science - This repository consist of a 50-day program
50-days-of-Statistics-for-Data-Science - This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation.
Training Script for Reuse-VOS This code implementation of CVPR 2021 paper : Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Vi
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
COResets and Data Subset selection Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order
Pretraining on Dynamic Graph Neural Networks
Pretraining on Dynamic Graph Neural Networks Our article is PT-DGNN and the code is modified based on GPT-GNN Requirements python 3.6 Ubuntu 18.04.5 L
General neural ODE and DAE modules for power system dynamic modeling.
Py_PSNODE General neural ODE and DAE modules for power system dynamic modeling. The PyTorch-based ODE solver is developed based on torchdiffeq. Sample
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
AdaFocusV2 This repo contains the official code and pre-trained models for AdaFo
Aides to reduce a cheat file with a personal selection of the cheats you want to use.
Retroarch Cheat File Reducer Description Aides to reduce a cheat file with a personal selection of the cheats you want to use. Instructions Copy a sel
A tool to guide you for team selection based on mana and ruleset using your owned cards.
Splinterlands_Teams_Guide A tool to guide you for team selection based on mana and ruleset using your owned cards. Built With This project is built wi
Flexible constructor to create dynamic list of heterogeneous properties for some kind of entity
Flexible constructor to create dynamic list of heterogeneous properties for some kind of entity. This set of helpers useful to create properties like contacts or attributes for describe car/computer/etc.
PyQt QGraphicsView with selection box. User can move vertical border of the box horizontally.
pyqt-horizontal-selection-square-graphics-view PyQt QGraphicsView with selection box. User can move vertical border of the box horizontally. Requireme
Source code of D-HAN: Dynamic News Recommendation with Hierarchical Attention Network
D-HAN The source code of D-HAN This is the source code of D-HAN: Dynamic News Recommendation with Hierarchical Attention Network. However, only the co
NumPy aware dynamic Python compiler using LLVM
Numba A Just-In-Time Compiler for Numerical Functions in Python Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaco
Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
DMT: Dynamic Mutual Training for Semi-Supervised Learning This repository contains the code for our paper DMT: Dynamic Mutual Training for Semi-Superv
simple demo codes for Learning to Teach with Dynamic Loss Functions
Learning to Teach with Dynamic Loss Functions This repo contains the simple demo for the NeurIPS-18 paper: Learning to Teach with Dynamic Loss Functio
Dynamic Twitter banner, to show off your spotify status. Banner updated every 5 minutes.
Spotify Twitter Banner Dynamic Twitter banner, to show off your spotify status. Banner updated every 5 minutes. Installation and Usage Install the dep
A dynamic multi-STL, multi-process OpenSCAD build system with autoplating support
scad-build This is a multi-STL OpenSCAD build system based around GNU make. It supports dynamic build targets, intelligent previews with user-defined
RapiDAST provides a framework for continuous, proactive and fully automated dynamic scanning against web apps/API.
RapiDAST RapiDAST provides a framework for continuous, proactive and fully automated dynamic scanning against web apps/API. Its core engine is OWASP Z
A great python/java dynamic DNS service for NameSilo, with log, email reminder...
English NameSilo DDNS is a DDNS service for NameSilo domain names for home broadband , it can automatically detect IP changes in home broadband
A full pipeline AutoML tool for tabular data
HyperGBM Doc | 中文 We Are Hiring! Dear folks,we are offering challenging opportunities located in Beijing for both professionals and students who are k
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
SelectionGAN for Guided Image-to-Image Translation CVPR Paper | Extended Paper | Guided-I2I-Translation-Papers Citation If you use this code for your
scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms.
Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ
Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate
News 05/17/2021 To make the comparison on ZJU-MoCap easier, we save quantitative and qualitative results of other methods at here, including Neural Vo
Hierarchical Cross-modal Talking Face Generation with Dynamic Pixel-wise Loss (ATVGnet)
Hierarchical Cross-modal Talking Face Generation with Dynamic Pixel-wise Loss (ATVGnet) By Lele Chen , Ross K Maddox, Zhiyao Duan, Chenliang Xu. Unive
Resolve form field arguments dynamically when a form is instantiated
django-forms-dynamic Resolve form field arguments dynamically when a form is instantiated, not when it's declared. Tested against Django 2.2, 3.2 and
This repository contains the code, models and datasets discussed in our paper "Few-Shot Question Answering by Pretraining Span Selection"
Splinter This repository contains the code, models and datasets discussed in our paper "Few-Shot Question Answering by Pretraining Span Selection", to
ConvBERT: Improving BERT with Span-based Dynamic Convolution
ConvBERT Introduction In this repo, we introduce a new architecture ConvBERT for pre-training based language model. The code is tested on a V100 GPU.
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
DeeBERT This is the code base for the paper DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. Code in this repository is also available
The implementation of Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning
INSTA: Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning This repository provides the implementation and demo of Learning Instanc
Dynamic View Synthesis from Dynamic Monocular Video
Dynamic View Synthesis from Dynamic Monocular Video Project Website | Video | Paper Dynamic View Synthesis from Dynamic Monocular Video Chen Gao, Ayus
Dynamic View Synthesis from Dynamic Monocular Video
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer This repository contains code to compute depth from a
Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts
DataSelection-NMT Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts Quick update: The paper got accepted o
Learning with Subset Stacking
Learning with Subset Stacking (LESS) LESS is a new supervised learning algorithm that is based on training many local estimators on subsets of a given
Extreme Dynamic Classifier Chains - XGBoost for Multi-label Classification
Extreme Dynamic Classifier Chains Classifier chains is a key technique in multi-label classification, sinceit allows to consider label dependencies ef
Unofficial PyTorch Implementation of AHDRNet (CVPR 2019)
AHDRNet-PyTorch This is the PyTorch implementation of Attention-guided Network for Ghost-free High Dynamic Range Imaging (CVPR 2019). The official cod
Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Context-Aware-Healthcare Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs Download
a practicable framework used in Deep Learning. So far UDL only provide DCFNet implementation for the ICCV paper (Dynamic Cross Feature Fusion for Remote Sensing Pansharpening)
UDL UDL is a practicable framework used in Deep Learning (computer vision). Benchmark codes, results and models are available in UDL, please contact @
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution
DRSAN A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution Karam Park, Jae Woong Soh, and Nam Ik Cho Environments U
Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"
Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"
Dynamic, database-driven Django forms
Django Dataforms django-dataforms is a wrapper for the Django forms API that lets you dynamically define forms in a database, rather than hard-coding
Dynamic key remapper for Wayland Window System, especially for Sway
wayremap Dynamic keyboard remapper for Wayland. It works on both X Window Manager and Wayland, but focused on Wayland as it intercepts evdev input and
A Keras implementation of CapsNet in the paper: Sara Sabour, Nicholas Frosst, Geoffrey E Hinton. Dynamic Routing Between Capsules
NOTE This implementation is fork of https://github.com/XifengGuo/CapsNet-Keras , applied to IMDB texts reviews dataset. CapsNet-Keras A Keras implemen
Project developed as part of a selection process for the company Denox
📝 Tabela de conteúdos Sobre Requisitos para rodar o projeto Instalação Rotas da API Observações 🧐 Sobre Projeto desenvolvido como parte de um proces
This script aims to make the dynamic public ip of your local server, public.
EZ DDNS CLOUDFLARE This script aims to make the dynamic ip of your local server, public. It does this by regularly updating cloudflare's dns record. B
Dynamic Capacity Networks using Tensorflow
Dynamic Capacity Networks using Tensorflow Dynamic Capacity Networks (DCN; http://arxiv.org/abs/1511.07838) implementation using Tensorflow. DCN reduc
Active Offline Policy Selection With Python
Active Offline Policy Selection This is supporting example code for NeurIPS 2021 paper Active Offline Policy Selection by Ksenia Konyushkova*, Yutian
PyTorch implementation of the paper Dynamic Token Normalization Improves Vision Transfromers.
Dynamic Token Normalization Improves Vision Transformers This is the PyTorch implementation of the paper Dynamic Token Normalization Improves Vision T
Code for paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
Decoupled Spatial-Temporal Graph Neural Networks Code for our paper: Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
Artificial intelligence based on 5-dimensional quantum selection
Deep Thought An artificial intelligence based on 5-dimensional quantum selection. Algorithm The payload Make an random bit array (e.g. 1101...) Conver
A selection of a few algorithms used to sort or search an array
Sort and search algorithms This repository has some common search / sort algorithms written in python, I also included the pseudocode of each algorith
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
DeeBERT This is the code base for the paper DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. Code in this repository is also available
Research code for "What to Pre-Train on? Efficient Intermediate Task Selection", EMNLP 2021
efficient-task-transfer This repository contains code for the experiments in our paper "What to Pre-Train on? Efficient Intermediate Task Selection".
Official implementation of Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models at NeurIPS 2021
Representer Point Selection via Local Jacobian Expansion for Classifier Explanation of Deep Neural Networks and Ensemble Models This repository is the
Discovering Dynamic Salient Regions with Spatio-Temporal Graph Neural Networks
Discovering Dynamic Salient Regions with Spatio-Temporal Graph Neural Networks This is the official code for DyReg model inroduced in Discovering Dyna