Md Parvej Hosen's repositories
artificial-self-AMLD-2020
Workshop material for the AMLD 2020 workshop on "Meet your Artificial Self: Generate text that sounds like you"
automate_bot
Work Smarter Not Harder
bert_chatbot
Train a chatbot with bert fixed feature vectors
deepvoice3
Tensorflow Implementation of Deep Voice 3
Event-Driven-Stock-Prediction-using-Deep-Learning
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
han
TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction", WSDM 2018
machine-learning-systems-design
A booklet on machine learning systems design with exercises
Model_Design-Selection
Model Design and Selection in Scikit Learn
naacl_transfer_learning_tutorial
Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
paws
This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.
Python-Web-Crawlers
A set of web crawlers using Pythons Scrapy and BeautifulSoup modules. The crawlers are used to scrape data from various websites. the data are used for data analysis and machine learning models.
question-tagging
Predicting Stack Overflow's question tags with deep neural networks based on TensorFlow.
SemEval-2017-Task-5
Source code for submission of RiTUAL-UH in the SemEval 2017 Task 5
sentiment-analysis
My solution for SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
stocknet-code
Code for stock movement prediction from tweets and historical stock prices.
stocknet-dataset
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
StockPrediction
An attempt to use financial news to predict stock market