classification

We write your reusable computer vision tools. 💜

Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.

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

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

all kinds of text classification models and more with deep learning

All-in-One Development Tool based on PaddlePaddle

🍊 📊 💡 Orange: Interactive data analysis

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

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

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

Python AutoML toolkit for benchmarking classification, regression, and time-series forecasting models, with GPU acceleration, MLflow tracking, and automated preprocessing.

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

Sandbox for training deep learning networks

Papers and Datasets about Point Cloud.

Deep neural network to extract intelligent information from invoice documents.

Turn any computer or edge device into a command center for your computer vision projects.