zhangshenghust Goto Github PK
Type: User
Type: User
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Audio data augmentation examples
A collection of Audio and Speech pre-trained models.
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
A curated list of research papers in exploring causality in vision. Link to the code if available is also present.
A collection of AWESOME things about domian adaptation
A curated list of resources for Learning with Noisy Labels
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Speaker embedding(verification and recognition) using Pytorch
ICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos
End-to-End Speech Processing Toolkit
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Google Research
test
KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place
PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
mlci model for textvqa
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotations of Modality (ACL2020)
TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18
[ACL'19] [PyTorch] Multimodal Transformer
The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
An implementation of Deep Adaptation Network with pytorch
Facial Expression Recognition using Residual Masking Network
The S3PRL speech toolkit: self-supervised pre-training and representation learning of Mockingjay, TERA, A-ALBERT, APC, and more to come. With easy-to-use standard downstream evaluation scripts including phone classification, speaker recognition, and ASR. (All in Pytorch!)
With the aim of building next generation virtual assistants that can handle multimodal inputs and perform multimodal actions, we introduce two new datasets (both in the virtual shopping domain), the annotation schema, the core technical tasks, and the baseline models. The code for the baselines and the datasets will be opensourced.
An implementation of SkipVQVC with various settings.
Sparse Mixture of Learned Kernels for Interpretable and Efficient PPG Signal Quality Assessment and Artifact Segmentation
Feature extraction of speech signal is the initial stage of any speech recognition system.
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.