cuDNN

PyTorch - Tensors and Dynamic neural networks in Python with strong GPU accelerationpytorch/pytorch

A Python package for tensor computation with GPU acceleration and dynamic neural networks built on a tape-based autograd system.

[Web]nagadomi/waifu2x

A deep learning tool for upscaling and denoising anime-style images and photos using convolutional neural networks.

CNTK - Microsoft Cognitive ToolkitMicrosoft/CNTK

A unified deep learning toolkit for describing neural networks as computational graphs, supporting feed-forward DNNs, CNNs, and RNNs/LSTMs.

Deeplearning4jdeeplearning4j/deeplearning4j

A comprehensive JVM-based deep learning ecosystem for building, training, and deploying models with support for model import and distributed training.

Chainerchainer/chainer

A flexible Python deep learning framework using define-by-run dynamic computational graphs for neural network research.

NeuralTalkkarpathy/neuraltalk2

Efficient image captioning code in Torch, using a CNN-RNN model to generate captions for images, optimized for GPU training.

flashlightflashlight/flashlight

A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.

textgenrnnminimaxir/textgenrnn

A Python module for easily training character- or word-level text-generating neural networks on any dataset with minimal code.

captcha_trainerkerlomz/captcha_trainer

A deep learning framework for training image classification models to solve complex captcha and OCR tasks.

Neural Stylecysmith/neural-style-tf

A TensorFlow implementation of neural style transfer for images and videos, blending content and artistic styles using convolutional neural networks.

InvoiceNetnaiveHobo/InvoiceNet

Deep neural network to extract structured information from invoice documents with a customizable UI and training tools.

Votenetfacebookresearch/votenet

An end-to-end 3D object detection network that uses deep point set networks and Hough voting to directly detect objects in point clouds.

GitHub repositoryQingyongHu/RandLA-Net

An efficient neural network for semantic segmentation of large-scale 3D point clouds using random sampling.