Pinned Repositories
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
delta-interpolator
ML-based Human Motion Prediction for Animation
Machine-Learning
Course work for COMP 551 - Applied Machine Learning
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.
Optimal-Control-ECSE-403
MATLAB scripts for control labs
AntonValk's Repositories
AntonValk/BagGraph
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks (AAAI-22)
AntonValk/Machine-Learning
Course work for COMP 551 - Applied Machine Learning
AntonValk/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.
AntonValk/Optimal-Control-ECSE-403
MATLAB scripts for control labs
AntonValk/antonvalk.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AntonValk/awesome-courses
:books: List of awesome university courses for learning Computer Science!
AntonValk/awesome-rl
Reinforcement learning resources curated
AntonValk/bitcoinbook
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
AntonValk/delta-interpolator
ML-based Human Motion Prediction for Animation
AntonValk/Computer-Vision
Course Work for ECSE-415
AntonValk/dlbook_exercises
Exercises for the Deep Learning textbook at www.deeplearningbook.org
AntonValk/dlbook_notation
LaTeX files for the Deep Learning book notation
AntonValk/ecse211lab1
AntonValk/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.
AntonValk/Jacobi
Solving the matrix equation Ax=B using the sequential and a parallelized version of the Jacobi method.
AntonValk/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.
AntonValk/Learning-from-Networks-of-Distributions
Repo for our paper presented in IEEE ACSSC 2020 - Asilomar Conference on Signals, Systems, and Computers
AntonValk/math-563
convex optimization final project
AntonValk/MODL
MODL: Multilearner Online Deep Learning
AntonValk/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.
AntonValk/Online-Learning
Online learning project
AntonValk/PGM
Probabilistic Graphical Models - COMP - 767
AntonValk/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
AntonValk/Robot-Competition-Capture-the-Flag
McGill Robot Competition Fall 2017 Team 8
AntonValk/technical_interview_questions
AntonValk/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
AntonValk/Ubisoft-LaForge-Animation-Dataset
Ubisoft La Forge - Animation Dataset