Deep Learning Tutorial notes and code. See the wiki for more info.

Deep Learning Tutorials Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. Deep Learning

Related Repos



alexandre01 Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
 

cvlab-yonsei An official implementation of "Learning with Privileged Information for Efficient Image Super-Resolution" (ECCV2020) in PyTorch.
 

yjh0410 A PyTorch version of CenterNet´╝łobjects as points´╝ë. I only support resnet18 version. No DLA or Hourglass version.
 

Kaggle-Coimbatore Curriculum to grasp the basics of ML in 100 Days designed by Kaggle Coimbatore.
 

etzinis Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.
 

rosinality Implementation of Swapping Autoencoder for Deep Image Manipulation (https://arxiv.org/abs/2007.00653) in PyTorch
 

ZEKAICHEN As the fast development of the Internet of Things and other mobile devices, the deployment of faster and more efficient deep learning techniques needs more efforts
 

PrincetonLIPS SketchGraphs is a dataset of 15 million sketches extracted from real-world CAD models intended to facilitate research in both ML-aided design and geometric program induction.