Name: Phung Lai
Type: User
Company: New Jersey Institute of Technology
Bio: PhD student in Information Systems & Master in Computer Science.
Research interests: Differential Privacy, NLP, Interpretable ML.
Location: New Jersey
Phung Lai's Projects
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
LSTM and QRNN Language Model Toolkit for PyTorch
resources about federated learning and privacy in machine learning
TensorFlow code and pre-trained models for BERT
A complete computer science study plan to become a software engineer.
Relevant papers in Continual Learning
Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
Face Attribute Prediction on CelebA benchmark with PyTorch Implementation
A framework for implementing federated learning
Federated Learning - PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Code for NIPS 2018 paper 'Frequency-Agnostic Word Representation'
:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Differential Privacy Preservation in Deep Learning
PyTorch Tutorial for Deep Learning Researchers
PyTorch ReImplementations for ''Towards Robust and Privacy-preserving Text Representations''