Cnn Python Packages

ultralytics-thop

Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

omlt

Represent trained machine learning models as Pyomo optimization formulations

torchcam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

attacut

A Fast and Accurate Neural Thai Word Segmenter

ntk-ml

A from-scratch neural network and tensor library built in Python for learning, experimentation, and deep understanding of modern ML systems.

continual-inference

A Python library for Continual Inference Networks in PyTorch

torchnd

ND convolutions, complex convolutions, ND padding, etc

topaz-em

Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.

mist-medical

MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.

deeptaxa-rrna

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

melpy

A NumPy-based deep learning library for building neural networks. It features an automatic differentiation engine and supports training architectures like LSTM, CNN, and FNN.

keras-vision

Porting vision models to Keras 3 for easily accessibility. Contains MobileViT v1, MobileViT v2, fastvit

yolox-backbone

yolox_backbone is a deep-learning library and a collection of YOLOX Backbone models.

neuralnetlib

🧠 A flexible machine & deep learning framework built from scratch using only NumPy

squarenet

Gridification for point clouds in any dimension (fast greedy optimal transport through Cartesian Sort).

pytorch-hexagdly

Process hexagonally sampled data with PyTorch

gcvit

Tensorflow 2.0 Implementation of GCViT: Global Context Vision Transformer

efficientword-net

OneShot Learning-based hotword detection.

netra-ocr

A Squeeze-and-Excitation Transformer Network for Khmer Optical Character Recognition

diploshic

feature-based deep learning for the identification of selective sweeps

jai

A LEGO-style PyTorch-based Deep Learning Library for ConvNets Modeling

document-classifier

A simple CNN for n-class classification of document images