Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Machine Learning notebooks for refreshing concepts.

Grapheme To Phoneme

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Deep learning software for colorizing black and white images with a few clicks.

Implementation of Image Style Transfer Using CNNs using Pytorch.

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Unofficial Pytorch(1.0+) implementation of paper [Fast Patch-based Style Transfer of Arbitrary Style](https://arxiv.org/abs/1612.04337).

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.

Unofficial implementation algorithms of attention models on SNLI dataset

Implementation of the Swin Transformer in PyTorch.