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Chris (Tu) NGUYEN's Projects

adv_ml icon adv_ml

Implementation of a few machine learning techniques

caffe icon caffe

Caffe: a fast open framework for deep learning.

edward icon edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

flax icon flax

Flax is a neural network ecosystem for JAX that is designed for flexibility.

fquery icon fquery

Fluent method chaining query functionality.

jina icon jina

Jina is the cloud-native neural search framework powered by state-of-the-art AI and deep learning

kaggle_otto icon kaggle_otto

The model that won top 3% of Kaggle Otto challenge. Ensemble model of Random Forest (scikit-learn), Gradient Boosted Trees (xgboost) and Neural Network (H20)

marge icon marge

Tentative implementation of MARGE (Pre-training via Paraphrasing) in jax/flax

minitorch icon minitorch

DIY torch-like framework from sasha rush's minitorch

nrms icon nrms

Implementation of NRMS "Neural News Recommendation with Multi-Head Self-Attention" (EMNLP2019), in Pytorch

pizza icon pizza

VAE-variant generative models, powered by PyTorch

pymldb icon pymldb

Python interface to the Machine Learning Database (MLDB).

s2v icon s2v

ICLR 2018 Quick-Thought vectors

sasrec icon sasrec

Implementation of Self-Attentive Sequential Recommendation (SASRec) in flax

semi-supervised-nlp icon semi-supervised-nlp

Implementation of semi-supervised learning: UDA, MixMatch, Mean-teacher, focusing on NLP, powered by Pytorch

sensei icon sensei

Sentiment Analysis using Stanford CoreNLP

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