Hi there. I'm Philip. Would you like to look at some code that I write? In that case you're in the right place. The table below showcases some projects I have written or contributed to.
| Title | Description |
|---|---|
| MNIST experiment from Tensorizing neural networks (Novikov et al. 2015) | This is a replication of the MNIST experiment from Tensorizing Neural Networks. The author achieves a good result on MNIST without convolutional layers. The implementation of matrix tensor train layer in this repo is not very reusable, but it’s very simple to understand! |
| Deep Convolutional Tensor Network | This repository contains the experiments I used in my paper Deep Convolutional Tensor Network presented at 2020 NeurIPS Quantum Tensor Networks in Machine Learning Workshop. In the paper, I study a novel hybrid neural network / tensor network machine learning model. |
| GPT-2 Chatbot | This was a student group project at Skoltech. We fine-tuned GPT-2 on dialog corpora (this was before ChatGPT), built a chatbot and launched it on Telegram. |
| Tensor Train Decomposition for Recurrent Neural Networks | This was a student group project at Skoltech. I replicated an experiment from Tensor-Train Recurrent Neural Networks for Video Classification (while accidentally getting SOTA results). My contributed code, Report describing the experiments |
| Bayesian Tensorized Neural Networks with Automatic Rank Selection | Another student group project where we replicated a paper but failed to obtain the same results. |
| libcrap | A small python library with a bunch of useful code written by me and used in many of my projects. |