Pinned Repositories
AWS-CLI-Commands
Collection of AWS CLI commands for several AWS services.
behancepr
spoken data for punctuation restoration
bert
TensorFlow code and pre-trained models for BERT
BERT-NER
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
bert_punct
Punctuation restoration in ASR text
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
docker-sclite-scoring
Dockerized version of ASR scoring using sclite with ctm hyp and Textgrid ref file
flask-ner
FYP - BERT Named Entity Recognition
kubernetes-course
Kubernetes Course Files
ngaht's Repositories
ngaht/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
ngaht/AWS-CLI-Commands
Collection of AWS CLI commands for several AWS services.
ngaht/behancepr
spoken data for punctuation restoration
ngaht/bert
TensorFlow code and pre-trained models for BERT
ngaht/BERT-NER
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
ngaht/bert_punct
Punctuation restoration in ASR text
ngaht/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
ngaht/docker-sclite-scoring
Dockerized version of ASR scoring using sclite with ctm hyp and Textgrid ref file
ngaht/flask-ner
FYP - BERT Named Entity Recognition
ngaht/kubernetes-course
Kubernetes Course Files
ngaht/myDL-sources
This contains all the source codes that I write while learning deep-learning books
ngaht/NeMo
NeMo: a toolkit for conversational AI
ngaht/NERP
Pipeline for fine-tuning pretrained transformers for Named-Entity Recognition (NER) tasks
ngaht/ngaht.github.io
My Github page
ngaht/ntu-guidelines
ngaht/Punctuation_Restoration
ngaht/python-tools
ngaht/SIF
sentence embedding by Smooth Inverse Frequency weighting scheme
ngaht/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.