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Hi there! I'm Thanh Luong 👋

A little thing about me.. I am a Machine Learning practitioner who is seeking for the challenging problems in different data domains from Image, Audio, NLP to .. time series data (like financial, I am still learning).

  • 🔭 I’m currently working at Axon as a Research Engineer.
  • 👨‍🎓 I’m currently learning Catboost and Realized Volatility Prediction
  • ⚡ Fun fact: I have a habit of reading the newspaper from the back page to the front page.

🛠  Tech Stack

Python  TF 
keras  pandas  numpy 
docker git Flask 
Bootstrap Git 
GitHub  Markdown Visual Studio Code  jp 

Thanh Luong's Projects

alphalens icon alphalens

Performance analysis of predictive (alpha) stock factors

caffe icon caffe

Caffe: a fast open framework for deep learning.

capsule_networks icon capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

darknet icon darknet

Windows version of Yolo Convolutional Neural Networks

distro icon distro

Torch installation in a self-contained folder

dynet icon dynet

DyNet: The Dynamic Neural Network Toolkit

faceboxes icon faceboxes

FaceBoxes: A CPU Real-time Face Detector with High Accuracy, IJCB, 2017

football_predictions icon football_predictions

Open source football predictions in Python. Predicts the outcome of football (soccer) tournaments based on historic results.

itorch icon itorch

IPython kernel for Torch with visualization and plotting

luminoth icon luminoth

Deep Learning toolkit for Computer Vision

nnabla icon nnabla

NNabla - Neural Network Libraries NNabla is a deep learning framework that is intended to be used for research, development and production. We aim it running everywhere like desktop PCs, HPC clusters, embedded devices and production servers.

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