Mykhaïlo Lytvynenko's starred repositories
ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
CommNet-Reproduced-for-Levers-Task
A pytorch implementation of commNet on the levers task from "Learning Multiagent Communication with Backpropagation" paper. Reproduced from https://github.com/facebookarchive/CommNet
dqn-multi-agent-rl
Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
Self-Learning-Traffic-Lights
Master thesis Artificial Intelligence at the University of Amsterdam as intern at the municipality of Amsterdam.
deeprl_signal_control
multi-agent deep reinforcement learning for large-scale traffic signal control.
Deep-QLearning-Agent-for-Traffic-Signal-Control
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
traffic_light_rl
Integrate AutoRL into DQN to implement a single traffic signal control system.
StageLight
SUMO Pytorch Deep Reinforcement Learning Traffic Signal Control
Hybrid-Deep-RL-Traffic-Signal-Control
Hybrid Deep Reinforcement Learning for Intelligent Traffic Signal Control
Multi-agent-RL-traffic-light-control
Decentralized reinforcement learning for city-scale traffic light control
intelligent_traffic_lights
Traffic Lights Control with Deep Learning
DI-smartcross
Decision Intelligence platform for Traffic Crossing Signal Control
DRL_Traffic-Signal-Control
Investigating Q-Learning and DQN variants for Traffic Signal Control problem
knowledge-pool
This is a Knowledge Pool on the systemic impacts of the digitalisation and automation of transport.
windows-cursors-modern
Remake of the classic and aero cursors from Microsoft Windows
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
AI-Product-Index
A curated index to track AI-powered products.
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
dictionary
Dictionary of Ukrainian counterparts for technical terms
link-preview-sidebar
Browser extension to open links in a sidebar instead of a new tab.
Deep-Learning-Specialization-Coursera
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.