Name: Andy T. Liu
Type: User
Company: National Taiwan University (NTU)
Bio: 🎓 Ph.D. graduate from NTU 🚀 Founder of S3PRL 🧬 Foundation Models 💠 Self-Supervised Learning, 💻 Deep Learning
Location: Singapore, Singapore
Blog: https://andi611.github.io/
Andy T. Liu's Projects
Training a vision-based agent with the Actor Critic model in an online environment, implementation in Tensorflow.
andi611/andi611 is a ✨special ✨ repository for my GitHub profile!
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.
A character-based language model build with the SRILM toolkit, plus a Viterbi-based decoding process of the language model implemented in C++.
Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow
Text-to-Speech Synthesis by Generating Spectrograms using Generative Adversarial Network
Pytorch implementation of CS-Tacotron, a code-switching speech synthesis end-to-end generative TTS model.
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
A program that generates the Bézier curve for a given set of points based on dynamic programming, Implementation in C++
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The Wiring Topology for Electromigration Avoidance Problem: Optimal Wiring Topology Implementation in C++
Discrete Hidden Markov Model (HMM) Implementation in C++
Digital Signal Processing: HMM Training and Testing with the HTK toolkit
A 4 way Intersection Manager That Minimizes the Average Waiting Time of Each Car at a crossroad, Implementation in C++
This repository contains Kaldi recipes on the LibriSpeech corpora to extract fMLLR features
Performing classification tasks with the LibSVM toolkit on four different datasets: Iris, News, Abalone, and Income.
Official Implementation of Mockingjay in Pytorch
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
The goal of this work is to compute the OHLC (open, high, low, close) prices of 台指期 within a given date based on minute-based trading record, implementation in Python.
Implementations of artificial intelligence agents that plays Pac-Man
Streamlit APPs that leverage the power of spaCy to assist language learning
Find the best time to buy and sell stock with transaction fe using Dynamic Programming, implementation in Python.
Pytorch implementation of Tacotron, a speech synthesis end-to-end generative TTS model.
A Pytorch implementation for the ZeroSpeech 2019 challenge.