Publication of our Oktoberfest Food Dataset for Object Detection methods - a1302z/OktoberfestFoodDataset

It is important that beginner machine learning practitioners practice on small real-world datasets.

So-called standard machine learning datasets contain actual observations, fit into memory, and are well studied and well understood. As such, they can be…

In this repository, I will share some useful notes and references about deploying deep learning-based models in production. - ahkarami/Deep-Learning-in-Production

Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020) - mpatacchiola/Y-AE

This repository has moved to: https://github.com/tkipf/c-swm - c-swm/c-swm

Classification is a predictive modeling problem that involves predicting a class label for a given example.

It is generally assumed that the distribution of examples in the training dataset is even across all of the classes. In practice, this is rarely…

To help you build object recognition models, scene recognition models, and more, we've compiled a list of the best image classification datasets for machine learning.

China’s biggest tech companies are using NVIDIA AI chips to make product recommendations & accelerated computing easier.

StyleGAN2 - Official TensorFlow Implementation. Contribute to NVlabs/stylegan2 development by creating an account on GitHub.

An imbalanced classification problem is a problem that involves predicting a class label where the distribution of class labels in the training dataset is skewed.

Many real-world classification problems have an imbalanced class distribution, therefore…

Memory efficient MAML using gradient checkpointing - dbaranchuk/memory-efficient-maml

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang - VITA-Group/FasterSeg

Contribute to yechengxi/deconvolution development by creating an account on GitHub.

This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks - GitHub - liusongxiang/StarGAN-Voice-Conversion: T...