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artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

chainer

A flexible framework of neural networks for deep learning

cornernet

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

deep-learning-papers-for-fish

a list of pappers in deep learning for new-comes.

deformconv_pytorch

Deformable Convolutional Networks

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

mmdetection

Open MMLab Detection Toolbox with PyTorch

phoenixgo

Go AI program which implement the AlphaGo Zero paper

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

reinforcement-learning-an-introduction

semanticsoftsegmentation

Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018

siggraph18sss

SIGGRAPH2018, Semantic Soft Segmentation, http://people.inf.ethz.ch/aksoyy/sss/

stn.pytorch

pytorch version of spatial transformer networks

tensorflow-multigpu-vae-gan

A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.

vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

zhihu

知乎专栏源码