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Name: Taejin Park
Type: User
Company: NVIDIA
Bio: Working on Signal Processing and Machine Learning.
Location: Santa Clara, CA
Blog: spturtle.blogspot.com
Name: Taejin Park
Type: User
Company: NVIDIA
Bio: Working on Signal Processing and Machine Learning.
Location: Santa Clara, CA
Blog: spturtle.blogspot.com
A PyTorch implementation of the Transformer model in "Attention is All You Need".
This repo is for the SPL paper "Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap"
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
A list of papers and studies about online learning and less forgettable neural network model
Bash profile for taejin park
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).
Evaluate three types of task shifting with popular continual learning algorithms.
Diarization annotation files
Diarization scoring tools.
A helper library for writing Poe API bots using FastAPI
Let's learn how to code simple DNN. Learn how back propagation and tensor work.
Word alignments generated by the Montreal Forced Aligner for the Librispeech dataset
SLT 2024 Challenge: Post-ASR-Speaker-Tagging
Logistic regression from scratch in Python
Siamese and triplet networks with online pair/triplet mining in PyTorch
MeetEval - A meeting transcription evaluation toolkit
Ongoing research training transformer models at scale
This repository is for the paper titled "Multiscale Speaker Diarization with Neural Affinity Score Fusion
MNSS (Music Noise Segmentation on a Spectrogram) is a deep-neural network based preprocessing technique that pre-filters unnecessary noise. MNSS is based on the convolutional neural networks and uses softmax value as a probability of noise existence.
NeMo: a toolkit for conversational AI
Speaker embedding extractor for various tasks.
A fast and lightweight python-based CTC beam search decoder for speech recognition.
Python English educational software
Python3 code for the IEEE SPL paper "Auto-Tuning Spectral Clustering for SpeakerDiarization Using Normalized Maximum Eigengap"
Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"
Deep speaker embeddings in PyTorch, including x-vectors
An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.
scikit-learn: machine learning in Python
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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.