We write your reusable computer vision tools. 💜

deep learning for image processing including classification and object-detection etc.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

all kinds of text classification models and more with deep learning

🍊 📊 💡 Orange: Interactive data analysis

All-in-One Development Tool based on PaddlePaddle（飞桨一站式全流程开发工具）

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

An easy to use PyTorch to TensorRT converter

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

CNN-RNN中文文本分类，基于TensorFlow

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Sandbox for training deep learning networks

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Deep neural network to extract intelligent information from invoice documents.

Papers and Datasets about Point Cloud.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

An open source library and framework for deep learning on satellite and aerial imagery.

CVNets: A library for training computer vision networks