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java

java

keras

Deep Learning for humans

keras-attention

Visualizing RNNs using the attention mechanism

kg-demo-for-movie

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

langchain

⚡ Building applications with LLMs through composability ⚡

learngit

systematically learning

learning

learning-spark

Example code from Learning Spark book

machine-learning

magenta

Magenta: Music and Art Generation with Machine Intelligence

memnet-tensorflow

Tensorflow implementation of MemNet(http://cvlab.cse.msu.edu/pdfs/Image_Restoration%20using_Persistent_Memory_Network.pdf).

ml2017

models

Models and examples built with TensorFlow

multivariate-time-series-data

neural-enhance

Super Resolution for images using deep learning.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

ntire2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

pl4nn

Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.

python-machine-learning

implementation

python-ssim

raisr

A Python implementation of RAISR

raisr-1

Google Rapid and Accurate Image Super Resolution

rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

rdn-tensorflow

Reproduction of paper:Residual Dense Network for Image Super-Resolution

rdn-tensorflow-1

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

recommendsystem

Recommend System Implementation

residual-attention-network

semantic-segmentation-tensorflow

various networks applied for semantic segmentation using tensorflow

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

sesr

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks