Artificial neural network
Overview
Frameworks
- rbgirshick/py-faster-rcnn: Faster R-CNN (Python implementation) – see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
- anishathalye/neural-style: Neural style in TensorFlow!
- davheld/GOTURN: Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
- kaonashi-tyc/zi2zi: Learning Chinese Character style with conditional GAN
- koth/kcws: Deep Learning Chinese Word Segment
- luanfujun/deep-photo-styletransfer: Code and data for paper “Deep Photo Style Transfer”: https://arxiv.org/abs/1703.07511
- tonybeltramelli/pix2code: pix2code: Generating Code from a Graphical User Interface Screenshot
- satoshiiizuka/siggraph2016_colorization: Code for the paper ‘Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification’.
- nagadomi/waifu2x: Image Super-Resolution for Anime-Style Art
- lllyasviel/style2paints: sketch + style = paints
- MG2033/ShuffleNet: ShuffleNet Implementation in TensorFlow
- emilwallner/Screenshot-to-code-in-Keras: A neural network that transforms a screenshot into a static website
Papers
- Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
- SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size