203 Open source projects that are alternatives of or similar to STEP

PyTorch code for "M³T: Multi-Modal Multi-Task Learning for Continuous Valence-Arousal Estimation"

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Multimodal sentiment analysis using hierarchical fusion with context modeling

XED multilingual emotion datasets

GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks

PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

Gait demo for tutorial of ICPR 2016

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

An emotion classifier of text containing technical content from the SE domain

An AI Tool to record expressions of users as they watch a video and then visualize the funniest parts of it!

This is the code for the paper "Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, Xiaoping Zhang and Tao Mei: TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition. ISCAS 2021" (Best Paper Award - Honorable Mention)

Twitter Word Frequency Analysis

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

Variational autoencoder for Lego minifig faces

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.

Implementation of the paper "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" in AAAI-2020.

Tutorials for Machine Learning on Graphs

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

Invariant representation learning from imaging and spectral data

An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

Torch Implemention of ECCV'16 paper: Attribute2Image

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

Implementation of a convolutional Variational-Autoencoder model in pytorch.

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Tools for the Cleveland State Human Motion and Control Lab

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Representation Learning on Graphs with Jumping Knowledge Networks

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

Identifies emotion(s) from user facial expressions

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

Trainable categorization tool

Official repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"

Here is the code for the paper ``Aspect-Level Sentiment Analysis via Convolution over Dependency Tree'' accepted by EMNLP2019.

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

pyreports is a python library that allows you to create complex report from various sources

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

The Synbols dataset generator

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

No description or website provided.

Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)

TypeDB-ML is the Machine Learning integrations library for TypeDB

2 networks to recognition gender and emotion; face detection using Opencv or Mtcnn

An index of recommendation algorithms that are based on Graph Neural Networks.

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

An emotion extraction system for images, that extracts emotion which will be felt by the user of viewing the image, representing them in a 2-Dimensional space that represents Arousal and Valence.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Assessing Generative Models via Precision and Recall (official repository)

Система, анализирующая тональность текстов и высказываний.

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

Facial Expression Recognition

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution

A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

No description or website provided.

PyTorch implementation of normalizing flow models

A list of data mining and machine learning papers that I implemented in 2019.