Programming Concepts Course work

Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces

[PVLDB 2025] TAB: Unified Benchmarking of Time Series Anomaly Detection Methods

Repository for "FreDF: Learning to Forecast in the Transformed Domain"

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

Fully open reproduction of DeepSeek-R1

Building DeepSeek R1 from Scratch

Practice your pandas skills!

Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments

Leetcode solutions

Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.

Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery

Value-Decomposition Networks For Cooperative Multi-Agent Learning

Python Multi-Agent Reinforcement Learning framework

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

A Genetic Algorithm for solving Quadratic Assignment Problems (QAP)

Implementation of Mobility Markov Chains with the Scikit Mobility Library.

Genetic Algorithm Package for Python

Supported highly optimized and flexible genetic algorithm package for python3.8+

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

Messenger/Chat web template for Webix UI library

MARL for Autonomous Vehicles

Multi-Agent Reinforcement Learning (MARL) papers with code

🎯 A comprehensive gradient-free optimization framework written in Python

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Python class for a genetic algorithm to solve an optimization problem with n control variables