A research-purposed, GUI-powered, Python-based framework that allows easy development of dynamic point-cloud (and accompanying image) data processing pipelines.

A curated list on piecewise-planar reconstruction

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds

Coding4Geo - an NFDI4Earth Educational Pilot Project

Reconstructing compact building models from point clouds using deep implicit fields [ISPRS 2022]

A curated list of awesome Point Cloud Processing Resources, Libraries, Software

Text to Image Generation with Semantic-Spatial Aware GAN

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

获取微博搜索结果信息，搜索即可以是微博关键词搜索，也可以是微博话题搜索

STL:Online Detection of Taxis Trajectory Anomaly based on Spatial-Temporal Laws

2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Official code of ECCV 2020 paper "GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision". GSNet performs joint vehicle pose estimation and vehicle shape re…

Object detection, 3D detection, and pose estimation using center point detection:

Kaggle_PKU_Baidu

100 Must-Read NLP Papers

Python implementation of the METRIC model

AAAI 2020: Weakly-supervised Fine-grained Event Recognition on Social Media for Disaster Management

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Sentence embeddings for unsupervised event detection in the Twitter stream: study on English and French corpora

State-of-the-Art Text Embeddings

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Implementation Project for relation extraction in NLP using kernel based methods.

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

A curated list of resources dedicated to text summarization

Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing