562 Repositories
Python point-level-supervision Libraries
POCO: Point Convolution for Surface Reconstruction
POCO: Point Convolution for Surface Reconstruction by: Alexandre Boulch and Renaud Marlet Abstract Implicit neural networks have been successfully use
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
Detecting Twenty-thousand Classes using Image-level Supervision Detic: A Detector with image classes that can use image-level labels to easily train d
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation
SUCP Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation () Direct Friends (i.e., users who follow each o
Discovering local read-level DNA methylation patterns and DNA methylation heterogeneity in intermediately methylated regions
Discovering local read-level DNA methylation patterns and DNA methylation heterogeneity in intermediately methylated regions
Python project to generate Kerala's distrcit level panchayath map.
Kerala-Panchayath-Maps Python project to generate Kerala's distrcit level panchayath map. As of now, geojson files of Kollam and Kozhikode are added t
A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms
AnnotateChange Welcome to the repository of the "AnnotateChange" application. This application was created to collect annotations of time series data
ruptures: change point detection in Python
Welcome to ruptures ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation
The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
Turing Change Point Detection Benchmark Welcome to the repository for the Turing Change Point Detection Benchmark, a benchmark evaluation of change po
A small Python library which gives you the IEEE-754 representation of a floating point number.
ieee754 ieee754 is small Python library which gives you the IEEE-754 representation of a floating point number. You can specify a precision given in t
A general and strong 3D object detection codebase that supports more methods, datasets and tools (debugging, recording and analysis).
ALLINONE-Det ALLINONE-Det is a general and strong 3D object detection codebase built on OpenPCDet, which supports more methods, datasets and tools (de
A generator of point clouds dataset for PyPipes.
CloudPipesGenerator Documentation | Colab Notebooks | Video Tutorials | Master Degree website A generator of point clouds dataset for PyPipes. TODO Us
A middle-to-high level algorithm book designed with coding interview at heart!
Hands-on Algorithmic Problem Solving A one-stop coding interview prep book! About this book In short, this is a middle-to-high level algorithm book de
Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility ICCV2021
Vis2Mesh This is the offical repository of the paper: Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Lear
Customer Service Requests Analysis is one of the practical life problems that an analyst may face. This Project is one such take. The project is a beginner to intermediate level project. This repository has a Source Code, README file, Dataset, Image and License file.
Customer Service Requests Analysis Project 1 DESCRIPTION Background of Problem Statement : NYC 311's mission is to provide the public with quick and e
Attention-based Transformation from Latent Features to Point Clouds (AAAI 2022)
Attention-based Transformation from Latent Features to Point Clouds This repository contains a PyTorch implementation of the paper: Attention-based Tr
Pixel-level Crack Detection From Images Of Levee Systems : A Comparative Study
PIXEL-LEVEL CRACK DETECTION FROM IMAGES OF LEVEE SYSTEMS : A COMPARATIVE STUDY G
Code for paper "Multi-level Disentanglement Graph Neural Network"
Multi-level Disentanglement Graph Neural Network (MD-GNN) This is a PyTorch implementation of the MD-GNN, and the code includes the following modules:
banking system with python, beginner friendly, preadvanced level
banking-system-python banking system with python, beginner friendly, preadvanced level Used topics Functions else/if/elif dicts methods parameters hol
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles ๐
urban_road_filter: a real-time LIDAR-based urban road and sidewalk detection algorithm for autonomous vehicles Dependency ROS (tested with Kinetic and
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement This repository implements the approach described in SporeAgent: Reinforced
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision
SANDS This is an annonymous repository containing code and data necessary to reproduce the results published in "Semi-supervised Stance Detection of T
Repository accompanying the "Sign Pose-based Transformer for Word-level Sign Language Recognition" paper
by Matyรกลก Bohรกฤek and Marek Hrรบz, University of West Bohemia Should you have any questions or inquiries, feel free to contact us here. Repository acco
Bi-level feature alignment for versatile image translation and manipulation (Under submission of TPAMI)
Bi-level feature alignment for versatile image translation and manipulation (Under submission of TPAMI) Preparation Clone the Synchronized-BatchNorm-P
PyTorch Implementation of Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation.
DosGAN-PyTorch PyTorch Implementation of Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation
[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans Introduction We introduce the task of dense captioning in 3D scans from commodity RGB-D sensor
Official pytorch implementation of paper Dual-Level Collaborative Transformer for Image Captioning (AAAI 2021).
Dual-Level Collaborative Transformer for Image Captioning This repository contains the reference code for the paper Dual-Level Collaborative Transform
PyTorch code for: Learning to Generate Grounded Visual Captions without Localization Supervision
Learning to Generate Grounded Visual Captions without Localization Supervision This is the PyTorch implementation of our paper: Learning to Generate G
Pointer-generator - Code for the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks
Note: this code is no longer actively maintained. However, feel free to use the Issues section to discuss the code with other users. Some users have u
UnpNet - Rethinking 3-D LiDAR Point Cloud Segmentation(IEEE TNNLS)
UnpNet Citation Please cite the following paper if you use this repository in your reseach. @article {PMID:34914599, Title = {Rethinking 3-D LiDAR Po
DataVisualization - The evolution of my arduino and python journey. New level of competence achieved
DataVisualization - The evolution of my arduino and python journey. New level of competence achieved
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.
TarkovScrappy - A nifty little bot that lets you know if a queried item might be required for a quest at some point in the land of Tarkov!
TarkovScrappy A nifty little bot that lets you know if a queried item might be required for a quest at some point in the land of Tarkov! Hideout items
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Created by Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas from Sta
Adversarial Attacks are Reversible via Natural Supervision
Adversarial Attacks are Reversible via Natural Supervision ICCV2021 Citation @InProceedings{Mao_2021_ICCV, author = {Mao, Chengzhi and Chiquier
Semi-supevised Semantic Segmentation with High- and Low-level Consistency
Semi-supevised Semantic Segmentation with High- and Low-level Consistency This Pytorch repository contains the code for our work Semi-supervised Seman
High-level bindings to the Valhalla framework.
Valhalla for Python This spin-off project simply offers improved Python bindings to the fantastic Valhalla project. Installation pip install valhalla
Mixup for Supervision, Semi- and Self-Supervision Learning Toolbox and Benchmark
OpenSelfSup News Downstream tasks now support more methods(Mask RCNN-FPN, RetinaNet, Keypoints RCNN) and more datasets(Cityscapes). 'GaussianBlur' is
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Graph-InfoClust-GIC [PAKDD 2021] PAKDD'21 version Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs Preprint version Graph InfoClu
A Python library for common tasks on 3D point clouds
Point Cloud Utils (pcu) - A Python library for common tasks on 3D point clouds Point Cloud Utils (pcu) is a utility library providing the following fu
Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Authors: Fan-yun Sun, Jordan Hoffm
PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
SLAPS-GNN This repo contains the implementation of the model proposed in SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Implementation of Memory-Efficient Neural Networks with Multi-Level Generation, ICCV 2021
Memory-Efficient Multi-Level In-Situ Generation (MLG) By Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen and David Z. Pan
Python code that gives the fastest path from point a to point b of a chess horse
PERSONAL-PROJECTS CARLOS MAGALLANES-ARANDA'S PERSONAL PROJECTS kchess.py is the code. its input is the start and the end. EXMPLE - a1 d5 its output is
Low-level, feature rich and easy to use discord python wrapper
PWRCord Low-level, feature rich and easy to use discord python wrapper Important Note: At this point, this library API is considered unstable and can
Implementation of Forwards Kinematics, Inverse Kinematics, Point to Point Movement and Synchronous movement for Kuka KR 120 R2700-2.
I made this project for my university course in robotics. I rarely found any information regarding the implementation of mathematics in code. So I decided to make this repo in order to help others :) I got these methods checked by my tutor but feel free to connect if something needs to be changed.
PyTorch Implementation of PIXOR: Real-time 3D Object Detection from Point Clouds
PIXOR: Real-time 3D Object Detection from Point Clouds This is a custom implementation of the paper from Uber ATG using PyTorch 1.0. It represents the
Telephus is a connection pooled, low-level client API for Cassandra in Twisted python.
Telephus Son of Heracles who loved Cassandra. He went a little crazy, at one point. One might almost say he was twisted. Description Telephus is a con
Python library to manipulate Ingenico mobile payment device like iCT220 or iWL220 equipped with Telium Manager. RS232/USB.
Python library to manipulate Ingenico mobile payment device like iCT220 or iWL220 equipped with Telium Manager. RS232/USB.
SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
SEOVER-Master This code is the implementation of paper๏ผ SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
Code release for SLIP Self-supervision meets Language-Image Pre-training
SLIP: Self-supervision meets Language-Image Pre-training What you can find in this repo: Pre-trained models (with ViT-Small, Base, Large) and code to
Weakly Supervised End-to-End Learning (NeurIPS 2021)
WeaSEL: Weakly Supervised End-to-end Learning This is a PyTorch-Lightning-based framework, based on our End-to-End Weak Supervision paper (NeurIPS 202
This is a top level socket library, making servers and clients EASY!
quick-net Sockets don't have to be a pain That's the motto this library was built with, and that's exactly what we made! This is a top-level socket li
Self-Adaptable Point Processes with Nonparametric Time Decays
NPPDecay This is our implementation for the paper Self-Adaptable Point Processes with Nonparametric Time Decays, by Zhimeng Pan, Zheng Wang, Jeff M. P
High-performance moving least squares material point method (MLS-MPM) solver.
High-Performance MLS-MPM Solver with Cutting and Coupling (CPIC) (MIT License) A Moving Least Squares Material Point Method with Displacement Disconti
Level Based Customer Segmentation
level_based_customer_segmentation Level Based Customer Segmentation Persona Veri Seti kullanฤฑlarak mรผลteri segmentasyonu yapฤฑlmฤฑลtฤฑr. KOLONLAR : PRICE
A PyTorch version of You Only Look at One-level Feature object detector
PyTorch_YOLOF A PyTorch version of You Only Look at One-level Feature object detector. The input image must be resized to have their shorter side bein
Help you understand Manual and w/ Clutch point while driving.
็ฎไฝไธญๆ forza_auto_gear forza_auto_gear is a tool for Forza Horizon 5. It will help us understand the best gear shift point using Manual or w/ Clutch in
PyTorch implementation of DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration (BMVC 2021)
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration [video] [paper] [supplementary] [data] [thesis] Introduction De
Semantic Edge Detection with Diverse Deep Supervision
Semantic Edge Detection with Diverse Deep Supervision This repository contains the code for our IJCV paper: "Semantic Edge Detection with Diverse Deep
[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
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Surfaces Official code release for NGLOD. For technical details, please refer t
Robotics with GPU computing
Robotics with GPU computing Cupoch is a library that implements rapid 3D data processing for robotics using CUDA. The goal of this library is to imple
Neural Point-Based Graphics
Neural Point-Based Graphics Project โ Video โ Paper Neural Point-Based Graphics Kara-Ali Aliev1 Artem Sevastopolsky1,2 Maria Kolos1,2 Dmitry Ulyanov3
Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources.
Illumination_Decomposition Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources. This code implements the
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
A high-level yet extensible library for fast language model tuning via automatic prompt search
ruPrompts ruPrompts is a high-level yet extensible library for fast language model tuning via automatic prompt search, featuring integration with Hugg
This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer Models by Reordering their Sublayers.
Improving Transformer Models by Reordering their Sublayers This repository contains the code for running the character-level Sandwich Transformers fro
A toolkit for document-level event extraction, containing some SOTA model implementations
โค๏ธ A Toolkit for Document-level Event Extraction with & without Triggers Hi, there ๐ . Thanks for your stay in this repo. This project aims at buildi
SPEAR: Semi suPErvised dAta progRamming
Semi-Supervised Data Programming for Data Efficient Machine Learning SPEAR is a library for data programming with semi-supervision. The package implem
JustPy is an object-oriented, component based, high-level Python Web Framework
JustPy Docs and Tutorials Introduction JustPy is an object-oriented, component based, high-level Python Web Framework that requires no front-en
A toolkit for document-level event extraction, containing some SOTA model implementations
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker Source code for ACL-IJCNLP 2021 Long paper: Document-le
Python's simple login system concept - Advanced level
Simple login system with Python - For beginners Creating a simple login system using python for beginners this repository aims to provide a simple ove
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity Introduction The 3D LiDAR place recognition aim
AlgoVision - A Framework for Differentiable Algorithms and Algorithmic Supervision
NeurIPS 2021 Paper "Learning with Algorithmic Supervision via Continuous Relaxations"
A complex language with high level programming and moderate syntax.
zsq a complex language with high level programming and moderate syntax.
Mask-invariant Face Recognition through Template-level Knowledge Distillation
Mask-invariant Face Recognition through Template-level Knowledge Distillation This is the official repository of "Mask-invariant Face Recognition thro
Get 2D point positions (e.g., facial landmarks) projected on 3D mesh
points2d_projection_mesh Input 2D points (e.g. facial landmarks) on an image Camera parameters (extrinsic and intrinsic) of the image Aligned 3D mesh
A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
โโโโโโโ โโโโโโโโโโ โโโโโโโโโโโ โโโโโโโ โโโโโโโโโโโ โโโโโโโ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โโโโโโโโ โโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโโ
CoinTex: Cross-platform Multi-Level Game created in Python using Kivy
CoinTex: Cross-platform Multi-Level Game created in Python using Kivy CoinTex is a multi-level adventure game created using the Kivy cross-platform Py
The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".
Deep Levelset for Box-supervised Instance Segmentation in Aerial Images Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu* Any questions or discussions ar
A system for quickly generating training data with weak supervision
Programmatically Build and Manage Training Data Announcement The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI applicat
Analyse the limit order book in seconds. Zoom to tick level or get yourself an overview of the trading day.
Analyse the limit order book in seconds. Zoom to tick level or get yourself an overview of the trading day. Correlate the market activity with the Apple Keynote presentations.
Official Implementation of SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations
Official Implementation of SimIPU SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations Since
A library which implements low-level functions that relate to packaging and distribution of Python
What is it? Distlib is a library which implements low-level functions that relate to packaging and distribution of Python software. It is intended to
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"
[NeurIPS 2021] Garment4D: Garment Reconstruction from Point Cloud Sequences
Garment4D [PDF] | [OpenReview] | [Project Page] Overview This is the codebase for our NeurIPS 2021 paper Garment4D: Garment Reconstruction from Point
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning This repository contains the implementation code for paper: Rethinking the Valu
Public repository of the 3DV 2021 paper "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds"
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Bjรถrn Michele1), Alexandre Boulch1), Gilles Puy1), Maxime Bucher1) and Rena
The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".
Deep Levelset for Box-supervised Instance Segmentation in Aerial Images Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu* This code is based on MMdetecti
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion This repo intends to release code for our work: Zhaoyang Lyu*, Zhifeng
[NeurIPS 2021] Garment4D: Garment Reconstruction from Point Cloud Sequences
Garment4D [PDF] | [OpenReview] | [Project Page] Overview This is the codebase for our NeurIPS 2021 paper Garment4D: Garment Reconstruction from Point
Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems
Bayesian Deep Learning for Manufacturing 2.0 (dlmfg) Object Shape Error Response (OSER) Digital Lifecycle Management - In Process Quality Improvement
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation (ICCV2021)
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation (ICCV2021) This is the implementation of PSD (ICCV 2021),
Make low level API wrapper in fast, easy.
The lowrapper is a library for quickly and easily creating an environment for tapping the API without implementation.
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds PCAM: Product of Cross-Attention Matrices for Rigid Registration of P
InsCLR: Improving Instance Retrieval with Self-Supervision
InsCLR: Improving Instance Retrieval with Self-Supervision This is an official PyTorch implementation of the InsCLR paper. Download Dataset Dataset Im
[NeurIPS 2021] ORL: Unsupervised Object-Level Representation Learning from Scene Images
Unsupervised Object-Level Representation Learning from Scene Images This repository contains the official PyTorch implementation of the ORL algorithm
An assignment from my grad-level data mining course demonstrating some experience with NLP/neural networks/Pytorch
NLP-Pytorch-Assignment An assignment from my grad-level data mining course (before I started personal projects) demonstrating some experience with NLP
Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Diffusion Probabilistic Models for 3D Point Cloud Generation [Paper] [Code] The official code repository for our CVPR 2021 paper "Diffusion Probabilis