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Name: Yuanqing Li
Type: User
Name: Yuanqing Li
Type: User
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Simulation of spiking neural networks (SNNs) using PyTorch.
Brian is a free, open source simulator for spiking neural networks.
Canonical Correlation Analysis Zoo: CCA, GCCA, MCCA, DCCA, DGCCA, DVCCA, DCCAE, KCCA and regularised variants
Predicting Big Five personality traits from facial images.
ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019
CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing advanced multimodal datasets.
This is a short tutorial for using the CMU-MultimodalSDK.
This repo contains implementation of different architectures for emotion recognition in conversations
A Novel and Efficient CVAE-GAN-BASED Approach with Informative Manifold for Semi-Supervised Anomaly Detection
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.
Jupyter notebooks for using & learning Keras
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch
A Deep Reinforcement Learning Approach (LSTM + policy gradient) to create a chatbot that produces coherent, emotional dialogue.
multimodal emotion recognition model for conversational videos based on reinforcement learning and domain knowledge
Visualizations for machine learning datasets
The repository contains code, documentation of the code used in ChaLearn First Impressions Analysis challenge (ECCV - 2016)
A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition
Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.