Cnn Classification Python Packages

deeprhythm

fast, precise tempo prediction in python

teachable-machine

A Python package designed to simplify the integration of exported models from Google's Teachable Machine platform into various environments.

taiwantrainverificationcode2text

台鐵驗證碼辨識/轉文字

hcaptcha-solver

Automated hCaptcha solver using binary image classification networks

deeptaxa-rrna

Hybrid CNN-BERT deep learning for hierarchical taxonomic classification of 16S rRNA sequences

explainable-cnn

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

dougnet

A lightweight, deep learning library written in pure Python

mantissa-cnn

CNN classifier in Python on the mantissa C engine — LeNet-5, VGG-style and AlexNet-style model zoo with paper citations, five classic image datasets, and honest speed/accuracy/RAM benchmarks vs PyTorch, TensorFlow and scikit-learn.

litecnn

LiteCNN: Intuitive Python library for creating, training and visualizing convolutional neural networks. Features simplified CNN layer definition, automated training workflows, model visualization, and seamless Keras-to-ONNX conversion. Includes 15 pre-configured popular models for immediate use.

insight-extractor

A package of a simple version of the Considdr (2014-2020) ML model used to extract insights from full text documents.

deepvision-toolkit

PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.

miniclassifier

Deep Learning Library for Text Classification.