apodolskiy Goto Github PK

apodolskiy.github.io

bayesianrecurrentnn

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

bertwsi

Word Sense Induction with BERT MLM

cc_net

Tools to download and cleanup Common Crawl data

crepe

Character-level Convolutional Networks for Text Classification

cs224n

Self-pass of cs224n course assignments

deep-learning

A few notebooks about deep learning in pytorch

deepbayes-2018

Seminars DeepBayes Summer School 2018

dl_cshse_spring2018

Материалы курса "Глубинное обучение", прочитанного на ФКН ВШЭ весной 2018г.

docker-course-xgboost

Materials for an online-course - "Practical XGBoost in Python"

handson-ml

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

identificationmiptyandexcourse

Identification project of the MIPT&Yandex Data Analysis Course

joeynmt

Minimalist NMT for educational purposes

ml-course-msu

Lecture notes and code for Machine Learning practical course on CMC MSU

mlcourse_open

OpenDataScience Machine Learning course. Both in English and Russian

nlp-datasets

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

poj_problems

POJ problems solution

practical_dl

Fork of Lempitsky DL for HSE master students.

practical_rl

A course in reinforcement learning in the wild

programming_problems

Practice solving programming problems

pyfiction

Python API for interactive fiction games

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

sentencevae

Implementation of Text Generative models based on Variational Autoencoding

sentimentanalysismiptcourse

Final Project of the MIPT&Yandex Course: Sentiment Analysis of reviews

taxi

tensorflow_2_examples

Some usage examples of tensorflow 2.0.

textworld_challenge

Repository for the TextWorld Challenge

thinkbayes

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

tpr-rnn-torch

PyTorch implementation of TPR-RNN (Learning to Reason with Third-Order Tensor Products paper)

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.