Pinned Repositories
Awesome-Research
An curated compilation of research papers spanning Deep Learning, Machine Learning, Reinforcement Learning, and Robotics that I have personally read and highly recommend
Delivery-Controller
Navigate a grid map efficiently, avoiding obstacles, and finding optimal paths for autonomous systems. This project combines Reinforcement Learning, Monte Carlo Tree Search, and Model-Based Formal Methods to create and validate effective path plans.
Machine-Learning-Tutorial
Discover a comprehensive tutorial covering common interview topics in machine learning and learn how to implement popular machine learning algorithms using Python. This tutorial will provide you with in-depth insights into key machine learning concepts and guide you through the process of programming these algorithms effectively.
Python-Interview-Cheat-Sheet
The "Python-Interview-Cheat-Sheet" repository is a comprehensive collection of Python-related resources designed to assist individuals in their preparation for technical interviews.
Quadruped-Trajectory-Optimization-Stack
Quadruped Trajectory Optimization Stack (QTOS) is an optimization framework for legged locomotion that autonomously generates full-body trajectory plans across challenging terrains.
SecurityGPT
This repository contains code, models, and resources related to our research project on enhancing the classification of Security Bug Reports (SBRs) within software source code using Large Language Models (LLMs). We have developed and fine-tuned LLMs to address the critical task of identifying security vulnerabilities in code.
SLAM-RRT-Navigation-Stack
SLAM Navigation Stack in ROS
SOLO12_SDK
Communication interface for the Solo12 robot built for quick development and testing.
SwiftMamba
towr_solo12
A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.
Alexyskoutnev's Repositories
Alexyskoutnev/Quadruped-Trajectory-Optimization-Stack
Quadruped Trajectory Optimization Stack (QTOS) is an optimization framework for legged locomotion that autonomously generates full-body trajectory plans across challenging terrains.
Alexyskoutnev/Delivery-Controller
Navigate a grid map efficiently, avoiding obstacles, and finding optimal paths for autonomous systems. This project combines Reinforcement Learning, Monte Carlo Tree Search, and Model-Based Formal Methods to create and validate effective path plans.
Alexyskoutnev/SOLO12_SDK
Communication interface for the Solo12 robot built for quick development and testing.
Alexyskoutnev/SecurityGPT
This repository contains code, models, and resources related to our research project on enhancing the classification of Security Bug Reports (SBRs) within software source code using Large Language Models (LLMs). We have developed and fine-tuned LLMs to address the critical task of identifying security vulnerabilities in code.
Alexyskoutnev/Awesome-Research
An curated compilation of research papers spanning Deep Learning, Machine Learning, Reinforcement Learning, and Robotics that I have personally read and highly recommend
Alexyskoutnev/towr_solo12
A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.
Alexyskoutnev/Machine-Learning-Tutorial
Discover a comprehensive tutorial covering common interview topics in machine learning and learn how to implement popular machine learning algorithms using Python. This tutorial will provide you with in-depth insights into key machine learning concepts and guide you through the process of programming these algorithms effectively.
Alexyskoutnev/Python-Interview-Cheat-Sheet
The "Python-Interview-Cheat-Sheet" repository is a comprehensive collection of Python-related resources designed to assist individuals in their preparation for technical interviews.
Alexyskoutnev/SLAM-RRT-Navigation-Stack
SLAM Navigation Stack in ROS
Alexyskoutnev/SwiftMamba
Alexyskoutnev/TurboInference
Welcome to TurboInference, a high-performance inference toolkit written in C++ for rapid and efficient deployment of LLM models. This GitHub repository provides a comprehensive set of tools and utilities designed to make inference tasks swift and resource-efficient.
Alexyskoutnev/AdversarialAudioDectection
Deep learning system to detect adversarial audio
Alexyskoutnev/Half-Cheetah-PPO
PPO implementation to solve half-cheetah environment in Pybullet physics engine
Alexyskoutnev/SLAM
Alexyskoutnev/alexyskoutnev
README.md
Alexyskoutnev/alexyskoutnev-github.io
Personal Website
Alexyskoutnev/alexyskoutnev.github.io
Personal Website
Alexyskoutnev/CPython
Python from scratch repo
Alexyskoutnev/CyberBattleSim
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Alexyskoutnev/DeepRRT
RRT algorithm with Deep Learning integration for path planning
Alexyskoutnev/first-contributions
🚀✨ Help beginners to contribute to open source projects
Alexyskoutnev/guided-diffusion
Alexyskoutnev/LocalizationAlgo
Alexyskoutnev/Motion_Planner
Alexyskoutnev/multiagent_mujoco
Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
Alexyskoutnev/PPO_BipedalWalker
Continuous Reinforcement Learning Problem in BipedalWalker Environment
Alexyskoutnev/QuantumRL
QuantumRL is a quantum reinforcement learning agent implemented in the OpenAI gridworld environment using a Variational Quantum Computing (VQC) Circuit. The VQC is utilized to approximate the Q-values of each state within the environment while requiring fewer parameters than a traditional neural network approach.
Alexyskoutnev/SLAM_Diffusion
Alexyskoutnev/Surreal
Simulation based software in Julia
Alexyskoutnev/vampir-lab.github.io
VAMPIR Lab Website