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Alexey Svyatkovskiy's Projects

apccourse icon apccourse

Materials for Princeton University APC524 guest lecture on Python

bigdatacourse icon bigdatacourse

Materials for the Advanced Data Analysis Techniques with Apache Spark mini-course

code2vec icon code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

codesearchnet icon codesearchnet

Datasets, tools, and benchmarks for representation learning of code.

dataincubator icon dataincubator

Source code and some results for the DataIncubator 2015 interview

dpu-utils icon dpu-utils

Utilities used by the Deep Program Understanding team

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

histogrammar icon histogrammar

Histogram abstraction to coordinate the filling of hundreds of histograms in a data analysis.

ludwig-intro icon ludwig-intro

Hands-on introduction to Ludwig. Based on https://uber.github.io/ludwig/examples/

mlmeetup2016 icon mlmeetup2016

Materials for the NJ Data science - Apache Spark meetup 04/28 (to be imported to Airisdata repo)

pythonworkshop icon pythonworkshop

Fundementals of Performace Tuning for Python Applications (Princeton U workshop)

pytorch-intro icon pytorch-intro

Intro to PyTorch: materials for the reading group presentation

pytorch-transformers icon pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

rootconverter icon rootconverter

Converts ROOT trees into different formats to make them accessible in Big Data applications.

scaroot icon scaroot

Experiments in linking Scala to ROOT, similar to PyROOT for Python

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