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Name: dongwang
Type: User
Name: dongwang
Type: User
PyTorch implementation of the paper "Semi-Supervised Acoustic Anomaly Detection via Contrastive Learning"
pytorch 1.0 implementation for "augmented cyclic adversarial learning for low resource domain adaptation"
Official Implement of "ADBench: Anomaly Detection Benchmark".
Anomaly detection related books, papers, videos, and toolboxes
An experimental open-source attempt to make GPT-4 fully autonomous.
Hope you can find everything you need about active learning in this repository.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the worldโs resources for speech enhancement and make them universally accessible and useful.
speech enhancement\speech seperation\sound source localization
List of tools & datasets for anomaly detection on time-series data.
Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearing vibrations recorded at different frequencies. Developed an algorithm to convert vibrational data into Symmetrized Dot Pattern images based on a Research paper. Created an Image dataset of 50 different parameters and 4 different fault classes, to select optimum parameters for efficient classification. Trained and tested 50 different datasets on different Image-net models to obtain maximum accuracy. Obtained an accuracy of 98% for Binary classification of Inner and Outer race faults on Efficient Net B7 model on just 5 epochs.
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)
The official code for the paper: https://arxiv.org/pdf/2108.00154.pdf
A PyTorch port of the existing MXNet implementation for the 2019 CVPR paper "d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding."
Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]
repository for Universal Domain Adaptation through Self-supervision
DCASE2020 Challenge Task 2 baseline system
MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.