minhpqn

Pham Quang Nhat Minh's repositories

nlp_100_drill_exercises

100 bài luyện tập xử lý ngôn ngữ tự nhiên

Language:Python126 250

vietner

A Feature-based Vietnamese Named-Entity Recognition Model

Language:Python30 50

nlp_100_drill_exercises_ver_2020

Bản dịch tiếng Việt của 100 bài luyện tập NLP (cập nhật bản 2020) dịch từ 言語処理100本ノック 2020 (https://nlp100.github.io/ja)

Language:Python25 20

DeepLunch

Repository for Deep Learning study group at FTI (FPT)

Language:Jupyter Notebook17 100

aivivn_1_ensemble_7th_place

Mã nguồn của mô hình xếp hạng 7 tại cuộc thi phân loại sắc thái bình luận do Aivivn tổ chức.

Language:Python12 20

Machine-Learning-Dojo

My dojo for learning and training machine learning skills

Language:Jupyter Notebook12 30

jmlm_scoring

Masked Language Model-based Scoring for Japanese and Vietnamese

Language:Python5 20

programming_notes

Các ghi chép cá nhân khi làm việc và học lập trình với nhiều ngôn ngữ khác nhau

Language:Python4 20

NLP-Notes

Minh Pham's Notes about NLP

Language:HTML2 30

vlsp2020-relex

Using BERT models for Vietnamese relation extraction at VLSP 2020

Language:Python2 20

word2vec

Automatically exported from code.google.com/p/word2vec

Language:CApache-2.02 2 37

BioRoBERTa

Pre-training RoBERTa model on Biomedical corpus

Language:Python1 20

MSE401_TEM501

Complementary materials for Text Mining (MSE401 - TEM501) course at Master of Software Engineering (MSE) program (FPT University)

Language:Jupyter Notebook1 20

AI2_Science_Model_Submission

A simple information retrieval-based solution for Allen AI Science Challenge: https://www.kaggle.com/c/the-allen-ai-science-challenge

Language:Perl020

maxent

maxent - A simple C++ library for maximum entropy classification (By Tsuruoka)

Language:C++MIT030

minhpqn.github.io

Pham Quang Nhat Minh's personal homepage

Language:JavaScriptMIT020

sentiment_analysis_vlsp_2016

My submission system for sentiment analysis task at VLSP 2016

Language:Python020

Text-Mining-Training-Course

Short Text Mining Training Course at FPT

Language:HTML020