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Roman's Projects

monodepth icon monodepth

Unsupervised single image depth prediction with CNNs

multi-class-text-classification-cnn icon multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

musicgen icon musicgen

Music Generation using Deep Learning. This project generates new composition using transformer based architectures suchas BERT that leverage Masked Language Modelling (MLM) for language generation tasks.

nlp-datasets icon nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

omnidb icon omnidb

Web tool for database management

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pixel-cnn icon pixel-cnn

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rcnn-text-classification icon rcnn-text-classification

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

re2 icon re2

RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.

react-image icon react-image

React.js <img> tag rendering with multiple fallback & loader support

remi icon remi

"Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions", ACM Multimedia 2020

robotstxt icon robotstxt

The repository contains Google's robots.txt parser and matcher as a C++ library (compliant to C++11).

sentencepiece icon sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tensor2tensor icon tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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