MATP-solver
Simulator
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collision check
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path step
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random initial states or given states
Traditional method
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Seperate A* algorithem
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Confict-based Search
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Stupid-avoid
Learning method
- A3C
- Dueling Double DQN
Multi Agent Path Finding Algorithms
Overview
Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representations" (NeurIPS 2021)
Compressive Visual Representations This repository contains the source code for our paper, Compressive Visual Representations. We developed informatio
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The-Secret-Sharing-Schemes - This interactive script demonstrates the Secret Sharing Schemes algorithm
The-Secret-Sharing-Schemes This interactive script demonstrates the Secret Shari
1 Jan 02, 2022
OpenMMLab Detection Toolbox and Benchmark
MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the OpenMMLab project.
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Normalization Calibration (NorCal) for Long-Tailed Object Detection and Instance Segmentation
NorCal Normalization Calibration (NorCal) for Long-Tailed Object Detection and Instance Segmentation On Model Calibration for Long-Tailed Object Detec
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Dilated Convolution for Semantic Image Segmentation
Multi-Scale Context Aggregation by Dilated Convolutions Introduction Properties of dilated convolution are discussed in our ICLR 2016 conference paper
764 Dec 26, 2022
A benchmark dataset for mesh multi-label-classification based on cube engravings introduced in MeshCNN
Double Cube Engravings This script creates a dataset for multi-label mesh clasification, with an intentionally difficult setup for point cloud classif
1 Nov 30, 2021
Py-faster-rcnn - Faster R-CNN (Python implementation)
py-faster-rcnn has been deprecated. Please see Detectron, which includes an implementation of Mask R-CNN. Disclaimer The official Faster R-CNN code (w
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UCSD Oasis platform
oasis UCSD Oasis platform Local project setup Install Docker Compose and make sure you have Pip installed Clone the project and go to the project fold
4 Jun 16, 2021
PyTorch implementation of our ICCV paper DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection.
Introduction This repo contains the official PyTorch implementation of our ICCV paper DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection. Up
133 Dec 29, 2022
Implementation of the paper titled "Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees"
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees Implementation of the paper titled "Using Sampling to
2 Aug 29, 2022
Official code release for 3DV 2021 paper Human Performance Capture from Monocular Video in the Wild.
Official code release for 3DV 2021 paper Human Performance Capture from Monocular Video in the Wild.
58 Dec 24, 2022
Constrained Logistic Regression - How to apply specific constraints to logistic regression's coefficients
Constrained Logistic Regression Sample implementation of constructing a logistic regression with given ranges on each of the feature's coefficients (v
1 Dec 29, 2021
In generative deep geometry learning, we often get many obj files remain to be rendered
a python prompt cli script for blender batch render In deep generative geometry learning, we always get many .obj files to be rendered. Our rendered i
1 Mar 20, 2022
Learning and Building Convolutional Neural Networks using PyTorch
Image Classification Using Deep Learning Learning and Building Convolutional Neural Networks using PyTorch. Models, selected are based on number of ci
126 Dec 22, 2022
Wenet STT Python
Wenet STT Python Beta Software Simple Python library, distributed via binary wheels with few direct dependencies, for easily using WeNet models for sp
33 Feb 21, 2022
A minimal implementation of Gaussian process regression in PyTorch
pytorch-minimal-gaussian-process In search of truth, simplicity is needed. There exist heavy-weighted libraries, but as you know, we need to go bare b
38 Nov 25, 2022
MAterial del programa Misión TIC 2022
Mision TIC 2022 Esta iniciativa, aparece como respuesta frente a los retos de la Cuarta Revolución Industrial, y tiene como objetivo la formación de 1
6 May 25, 2022
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
3 Dec 09, 2022
Self-supervised Label Augmentation via Input Transformations (ICML 2020)
Self-supervised Label Augmentation via Input Transformations Authors: Hankook Lee, Sung Ju Hwang, Jinwoo Shin (KAIST) Accepted to ICML 2020 Install de
96 Dec 29, 2022
TensorFlow ROCm port
Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a
622 Jan 09, 2023