David Samuel's Projects
Easy-to-use AdaHessian optimizer (PyTorch)
:dolls: Clone of famous multiplayer game https://agar.io/ in python 3.6 that supports third-party AI controllers and can be easily used for reinforcement learning experiments.
LSTM and QRNN Language Model Toolkit for PyTorch
A scaffold for players of battlecode 2017
An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
Combining Evolutionary Algorithms and deep RL in various ways
:japanese_castle: Implementation of WideResNet for CIFAR10 in Chainer
Personal webpage
Chu-Lui-Edmonds decoding extracted from TurboParser
Unreal engine tutorial
:saxophone: Artificial Composition of Multi-Instrumental Polyphonic Music
Submission to Travelling Salesman Challenge 2.0
:angel: Lazy Adam optimizer (pytorch)
Programming assigment in nonprecedural programming class: Prolog program solving Loyd's n-puzzle.
Natural language understanding benchmarks for Norwegian
Norwegian question answering dataset
Materials for the Deep Learning -- ÚFAL course NPFL114
Deep Learning Seminar -- ÚFAL course NPFL117
NPFL122 — Deep Reinforcement Learning repository
NPFL129 repository
:ghost: Programming assignment in the first semester of my computer science studies: Pacman programmed entirely in the good old Pascal.
Simple random walk vizualizer in TypeScript framework Phaser
:mag: C++ implementation of proof-number and dependency-based search for gomoku by Louis Victor Allis (1994)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
:car: Czech PDT lemmatization with hierarchical Transformer in Pytorch
PyTorch implementation of recurrent batch normalization
SAM: Sharpness-Aware Minimization (PyTorch)
SemEval-2022 Shared Task 10: Structured Sentiment Analysis
Graph parsing approach to structured sentiment analysis.