Convolutional Networks

segmentation_models.pytorchPython

A PyTorch library providing 12+ semantic segmentation model architectures with 800+ pretrained convolutional and transformer-based encoders.

YOLO TensorFlow ++Python

A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.

More TensorFlow tutorialsJupyter Notebook

A collection of TensorFlow tutorials covering basics to advanced neural network architectures with Python code and notebooks.

Awesome Image Classification

A curated list of deep learning image classification papers and their code implementations since 2014.

nnLua

A modular neural network package for Torch providing building blocks for creating and training deep learning models.

Mocha.jlJulia

A deep learning framework for Julia inspired by Caffe, featuring modular architecture and multiple backends.

JavaNNJava

A Java deep learning framework implementing neural networks with GPU acceleration via OpenCL and Aparapi.

DeepnetPython

GPU-accelerated Python implementation of six fundamental deep learning algorithms using CUDA libraries.

SynapticClojure

A Clojure library for building and training neural networks with support for various architectures and learning algorithms.

[Web]C++

A pre-release Caffe branch for fully convolutional networks (FCNs), now deprecated with features merged into Caffe master.