Companion repository to the paper accepted at the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities

Last update: Oct 24, 2022

Overview

Transfer learning approach to bicycle sharing systems station location planning using OpenStreetMap

Companion repository to the paper accepted at the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities

Owner

Politechnika Wrocławska - repozytorium dla informatyków

GitHub Repository https://pwr-inf.github.io/Transfer-learning-approach-to-bicycle-sharing-systems-station-location-planning-using-OpenStreetMap/

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

jaxdf - JAX-based Discretization Framework Overview | Example | Installation | Documentation ⚠️ This library is still in development. Breaking changes

65 Dec 23, 2022

LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.

This project is based on ultralytics/yolov3. LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image. The related paper is avai

26 Dec 13, 2022

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

🦩 Flamingo - Pytorch Implementation of Flamingo, state-of-the-art few-shot visual question answering attention net, in Pytorch. It will include the p

630 Dec 28, 2022

Tensorflow Implementation for "Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition"

Tensorflow Implementation for "Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition" Pre-trained Deep Convo

5 Nov 11, 2022

ERISHA is a mulitilingual multispeaker expressive speech synthesis framework. It can transfer the expressivity to the speaker's voice for which no expressive speech corpus is available.

ERISHA: Multilingual Multispeaker Expressive Text-to-Speech Library ERISHA is a multilingual multispeaker expressive speech synthesis framework. It ca

43 Nov 27, 2022

Companion repository to the paper accepted at the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities

Related tags

Overview

Transfer learning approach to bicycle sharing systems station location planning using OpenStreetMap

Owner

Politechnika Wrocławska - repozytorium dla informatyków

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

Tensorflow Implementation for "Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition"

A PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing"

Stitch it in Time: GAN-Based Facial Editing of Real Videos

General Multi-label Image Classification with Transformers

StyleGAN2-ADA-training-jupyter - Training custom datasets in styleGAN2-ADA by NVIDIA using Jupyter

MoveNet Single Pose on OpenVINO

Acute ischemic stroke dataset

Code for the paper "Adversarial Generator-Encoder Networks"

Example for AUAV 2022 with obstacle avoidance.

competitions-v2

Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.

An example of Scatterbrain implementation (combining local attention and Performer)

PyTorch implementation of Rethinking Positional Encoding in Language Pre-training

Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks

Benchmarks for Object Detection in Aerial Images

A Python package for performing pore network modeling of porous media

ERISHA is a mulitilingual multispeaker expressive speech synthesis framework. It can transfer the expressivity to the speaker's voice for which no expressive speech corpus is available.