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Sergey Zuev's Projects

questions-with-classifier-ega icon questions-with-classifier-ega

Application that uses the Watson Natural Language Classifier Service to show how to build a question-and-answer application using a small amount of training data and demonstrating some best practices for using the service.

ration icon ration

A Vue.js + Sails 1.0 example app

recsys-challenge-2019-trivago icon recsys-challenge-2019-trivago

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019 by our team Policloud8 at Politecnico di Milano

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rescuer-la icon rescuer-la

The program for searching through photos from the air of lost people in the forest uising Retina Net neural network

rt_gene icon rt_gene

RT-GENE: Real-Time Eye Gaze and Blink Estimation in Natural Environments

scikit-uplift icon scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

scrapy-cdr icon scrapy-cdr

Item definition and utils for storing items in CDR format for scrapy

sentiment-analysis-twitter icon sentiment-analysis-twitter

:mortar_board:RESEARCH:smirk_cat: [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter. :thumbsup:

seq2seq icon seq2seq

A general-purpose encoder-decoder framework for Tensorflow

simclr icon simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

skorch icon skorch

A scikit-learn compatible neural network library that wraps pytorch

slm-lab icon slm-lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

slowfast icon slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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