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space-radar

Disk Space Visualization App built with Electron & d3.js

spacy-french-models

French models for spacy

spider

scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge

splatnet

SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

spliced-commerce

spree_ams

:floppy_disk: A module for Spree's API that responds as per Active Model Serializers

spree_slider

Add a slider to the spree homepage

sqlgenerator

Based on seq2sql(Zhong,2017) and sqlnet(Xu 2018) model, implement a modified tool to translate natural language questions to corresponding SQL queries.

sqlnet

Neural Network for generating structured queries from natural language.

sqlova

srp-boxes

ssai

Semantic Segmentation for Aerial Imagery using Convolutional Neural Network

static-googlemap-downloader

generate static google map image

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

street-view-pipeline

Distributed Google street view image processing

streetcomplete

Easy to use OpenStreetMap editor for Android

streetget

streets4mpi

A street traffic simulation example project for MPI-based parallel computing in Python.

streetview

Python module for retrieving current and historical photos from Google Street View

streetview-explorer

streetview-explorer

sums-semantic-urban-mesh-segmentation-public

SUMS: Semantic Urban Mesh Segmentation.

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

svplc

Logiciel de jardinage

svplcpro

Logiciel de permaculture prenant en compte les associations et les rotations entre les plantes

t4gpd

Set of tools based on Python, GeoPandas and Shapely to achieve urban geoprocessing

t4gpd-docker

Docker image creation repository for the t4gpd plugin

t4gpd-docs

Official documentation of the t4gpd plugin

taajerseygwt

tabert

This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).

tabert_finetune

TaBERT fine-tune code