antonvalk Goto Github PK

antonvalk.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-rl

Reinforcement learning resources curated

baggraph

Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks (AAAI-22)

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

computer-vision

Course Work for ECSE-415

delta-interpolator

ML-based Human Motion Prediction for Animation

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

dlbook_notation

LaTeX files for the Deep Learning book notation

ecse211lab1

google-quickdraw-competition

Group work on Google's Quickdraw competition. The actual challenge is harder since we used a subset of the complete dataset and added noise to the images.

jacobi

Solving the matrix equation Ax=B using the sequential and a parallelized version of the Jacobi method.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

learning-from-networks-of-distributions

Repo for our paper presented in IEEE ACSSC 2020 - Asilomar Conference on Signals, Systems, and Computers

machine-learning

Course work for COMP 551 - Applied Machine Learning

math-563

convex optimization final project

matrix-vector-equation-neural-network-solution-approximation

A neural network implementation that predicts what the solution to a sparse matrix equation will be. The prediction is then fed into a solver (using methods such as Gauss-Seidel, Jacobi, etc.) as the initial guess solution vector. The initial guess is close to the solution and therefore the amount of iterations required for convergence is reduced.

modl

MODL: Multilearner Online Deep Learning

mychessengine

My first chess engine. The aim of the project is to create a basic chess engine. This project will help me familiarize myself with HashMaps, Google's Guada library, immutability , J-Unit testing, some basic AI (Minimax Algorithm) & other concepts.

online-learning

Online learning project

optimal-control-ecse-403

MATLAB scripts for control labs

pgm

Probabilistic Graphical Models - COMP - 767

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

robot-competition-capture-the-flag

McGill Robot Competition Fall 2017 Team 8

technical_interview_questions

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

ubisoft-laforge-animation-dataset

Ubisoft La Forge - Animation Dataset