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Tuan PHAM's Projects

adminator-admin-dashboard icon adminator-admin-dashboard

Adminator is a easy to use and well design admin dashboard template for web apps, websites, services and more

agentmaps icon agentmaps

Make social simulations on interactive maps with Javascript! Agent-based modeling for the web.

agentmaps-iconagents icon agentmaps-iconagents

AgentMaps plugin that depicts agents with custom icons. https://noncomputable.github.io/AgentMaps-Spritegents/

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

biosentvec icon biosentvec

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

blue_benchmark icon blue_benchmark

BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.

bluebert icon bluebert

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch icon cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

cv icon cv

Van Tuan PHAM's CV

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deeplearningmovies icon deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

icse-seip-2020-replication-package icon icse-seip-2020-replication-package

Replication package of the paper titled "How do you Architect your Robots? State of the Practice and Guidelines for ROS-based Systems" published at ICSE-SEIP 2020

latex-ocr icon latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

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