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Mateusz Pyla's Projects

bi-att-flow icon bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

cmlda icon cmlda

This repository contains the code for a Neural Network's implementation using either the Stochastic Gradient Descent or the Conjugate Gradient Descent as optimization algorithm.

dissertation icon dissertation

2020 University of Edinburgh thesis: Comparison and implementation different learning algorithms for neural networks

eb_gfn_cl icon eb_gfn_cl

Take the code for paper "Generative Flow Networks for Discrete Probabilistic Modeling" and check out CL

losslandscapealluneed icon losslandscapealluneed

This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent"

numba icon numba

NumPy aware dynamic Python compiler using LLVM

pytorch-sso icon pytorch-sso

PyTorch-SSO: Scalable Second-Order methods in PyTorch

relreps icon relreps

Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.

swa_gaussian icon swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

topologylayer icon topologylayer

A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch

torch_cg icon torch_cg

Preconditioned Conjugate Gradient in Pytorch

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