Pinned Repositories
translation
Evaluate and compare three neural machine translation models, including RNN-based encoder-decoder, RNN-encoder-decoder with attention, and CNN-encoder-RNN-decoder with attention. [Team Project for 2018 NLP with Cho on Machine Translation]
Bayesian_stats_Econometric_Modeling
Notes and simulations of bayesian inference, state estimation, and solution techniques, such as HMM, MCMC, Kalman Filter, Gibbs Sampling, Baum-Welch algorithm, etc.
Compare_OpenMP_OpenCL
Comparing OpenMP and OpenCL on multicore CPU and GPU platforms.
GetOldTweets-python
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
getting-started-with-aws
Getting Started With AWS Code, Tools, and Instructions
iterm2-zmodem
Automatic ZModem support for iTerm 2
machine_learning_algorithms
classic machine learning algorithms and computational statistics, such as ridge and lasso, support vector machine, kernel methods, random forest, AdaBoost, gradient boosting, etc.
NLP_with_Representation_Learning
Natural Language processing staff, including rnn, attention, LSTM, gated recurrent unit, etc; Representation learning for natural languages such as embedding techniques and language models
RentalListing_Evaluation
A predictive model of customer interest-level of rental listings, experiments with random forest and extreme gradient boosting.
RNN-Encoder-Decoder
basic PyTorch implementation of recurrent neural network encoder-decoder architecture model for statistical machine translation
xliu93's Repositories
xliu93/RNN-Encoder-Decoder
basic PyTorch implementation of recurrent neural network encoder-decoder architecture model for statistical machine translation
xliu93/iterm2-zmodem
Automatic ZModem support for iTerm 2
xliu93/machine_learning_algorithms
classic machine learning algorithms and computational statistics, such as ridge and lasso, support vector machine, kernel methods, random forest, AdaBoost, gradient boosting, etc.
xliu93/Bayesian_stats_Econometric_Modeling
Notes and simulations of bayesian inference, state estimation, and solution techniques, such as HMM, MCMC, Kalman Filter, Gibbs Sampling, Baum-Welch algorithm, etc.
xliu93/Compare_OpenMP_OpenCL
Comparing OpenMP and OpenCL on multicore CPU and GPU platforms.
xliu93/GetOldTweets-python
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
xliu93/getting-started-with-aws
Getting Started With AWS Code, Tools, and Instructions
xliu93/NLP_with_Representation_Learning
Natural Language processing staff, including rnn, attention, LSTM, gated recurrent unit, etc; Representation learning for natural languages such as embedding techniques and language models
xliu93/RentalListing_Evaluation
A predictive model of customer interest-level of rental listings, experiments with random forest and extreme gradient boosting.
xliu93/multicore_programming
Two simple experiments regarding multicore programming. Wandering Travel Salesman Problem (OpenMP) and Solving Linear Equations (MPI)
xliu93/My-Work-Env-Setup
A collection of working environment setup from my daily usage.
xliu93/time_series_analysis
Exploratorium notebook for time series analysis
xliu93/Trading-on-Social-Sentiment-Analytics
An application that extracts social sentiment and attention from tweets and news headlines to help users make investment decisions.