Mateusz Pyla's repositories
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.
city-s-bins-roamer
Best multiplayer with AI game ever!
Class-Selective-Neurons
Analyzing class selectivity in deep neural networks
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
2020 University of Edinburgh thesis: Comparison and implementation different learning algorithms for neural networks
double_descent_mateusz_pierre
Trying to reproduce the phenomenon of double descent
EB_GFN_CL
Take the code for paper "Generative Flow Networks for Discrete Probabilistic Modeling" and check out CL
game_theory_learning_hypothesistesting_ne
Game Theory IASD 2022 FosterYoung Learning Hypothesis Testing NE
homework_fall2021
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
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"
maths-notes
Lecture notes from Cambridge maths
numba
NumPy aware dynamic Python compiler using LLVM
pytorch-cifar
95.47% on CIFAR10 with PyTorch
pytorch-sso
PyTorch-SSO: Scalable Second-Order methods in PyTorch
quick_share
Documents to quick share
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
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
TopologyLayer
A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
torch_cg
Preconditioned Conjugate Gradient in Pytorch