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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

brian2

Brian is a free, open source simulator for spiking neural networks.

cca_zoo

Canonical Correlation Analysis Zoo: CCA, GCCA, MCCA, DCCA, DGCCA, DVCCA, DCCAE, KCCA and regularised variants

chalearn_first_impression

Predicting Big Five personality traits from facial images.

chalearn_liveness_challenge

ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019

cmu-multimodalsdk

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing advanced multimodal datasets.

cmu-multimodalsdk-tutorials

This is a short tutorial for using the CMU-MultimodalSDK.

conv-emotion

This repo contains implementation of different architectures for emotion recognition in conversations

cvae-gan

cvae-gan-1

cvae-gan-2

cvae-gan-based-anomaly-detection

A Novel and Efficient CVAE-GAN-BASED Approach with Informative Manifold for Semi-Supervised Anomaly Detection

cvae-gan-zoos-pytorch-beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

deep-k-means

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

deepcca

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.

deepgcca-pytorch

An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.

dl-uncertainty

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

dqn_pytorch

Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch

emotional_dialogue

A Deep Reinforcement Learning Approach (LSTM + policy gradient) to create a chatbot that produces coherent, emotional dialogue.

erldk

multimodal emotion recognition model for conversational videos based on reinforcement learning and domain knowledge

facets

Visualizations for machine learning datasets

first-impressions

The repository contains code, documentation of the code used in ChaLearn First Impressions Analysis challenge (ECCV - 2016)

fv2es

A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition

hopls

iemocap-emotion-detection

Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.