matekrk

autograd-lib

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

matekrk/autograd-lib

matekrk/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.

matekrk/city-s-bins-roamer

Best multiplayer with AI game ever!

matekrk/Class-Selective-Neurons

Analyzing class selectivity in deep neural networks

matekrk/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.

matekrk/dissertation

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

matekrk/double_descent_mateusz_pierre

Trying to reproduce the phenomenon of double descent

matekrk/EB_GFN_CL

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

matekrk/fnc-1

matekrk/game_theory_learning_hypothesistesting_ne

Game Theory IASD 2022 FosterYoung Learning Hypothesis Testing NE

matekrk/homework_fall2021

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

matekrk/HSIC-bottleneck

matekrk/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"

matekrk/maths-notes

Lecture notes from Cambridge maths

matekrk/numba

NumPy aware dynamic Python compiler using LLVM

matekrk/pytorch-cifar

95.47% on CIFAR10 with PyTorch

matekrk/pytorch-sso

PyTorch-SSO: Scalable Second-Order methods in PyTorch

matekrk/quick_share

Documents to quick share

matekrk/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.

matekrk/sharpness

matekrk/swa_gaussian

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

matekrk/TopologyLayer

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

matekrk/torch_cg

Preconditioned Conjugate Gradient in Pytorch