Detection of emotion from interviews

Code for Paper Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases

Code for Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions

Face recognition using Tensorflow

Understanding emotions from audio files using neural networks and multiple datasets.

SGAN: Structured Generative Adversarial Networks

Stacked Generative Adversarial Networks

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

PyTorch implementations of Generative Adversarial Networks.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

A list of all named GANs!

starter from "How to Train a GAN?" at NIPS2016

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Deep learning algorithms source code for beginners with python3

End-to-End Speech Processing Toolkit

Book about interpretable machine learning

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners