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Trained Without My Consent (TraWiC): Detecting Code Inclusion In Language Models Trained on Code
DeepCodeProbe: A Probe into Machine Learning Models Specializing in Software Maintenace
A Python based lightweight robot simulator for the development of algorithms in robotics navigation, control, and learning.
Examples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.
stanleybak / CS7320-AI
Forked from mhahsler/CS7320-AIExamples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.
Curated repository of awesome Digital Twin resources
The main repository for the OpenSBT framework.
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving
Explanation system for semi-supervised multi-objective optimization
A complete computer science study plan to become a software engineer.
Official code release for ConceptGraphs
This repository holds Artefacts for the paper "Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines
MutAP: A prompt_based learning technique to automatically generate test cases with Large Language Model
A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missi…
Common used path planning algorithms with animations.
Tool Competion on Testing Unmanned Aerial Vehicles
RoadSearch on Analysis of Road Representations in Search-Based Testing of Autonomous Driving Systems
Nvidia TAO (Train, Adapt, Optimize) with STM32Cube.AI Developer Cloud
The Frenetic algorithm extracted as a standalone tool
The SAFE Algorithm: Solution and Fitness Evolution
[NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
Developing a maze solving robot in ROS2 that leverages information from a drone or Satellite's camera using OpenCV algorithms to find its path to the goal and solve the maze. :)
Solves Mazes taking an image input, along with the starting and ending points. There are two Algorithms here which solve mazes. One of them is a Shortest Path Algorithm, the other, Minimal Tree Ago…
Rectangular maze solving using image processing with OpenCV and numpy.
🤖🧭 Differential Ground Robot autonomous driving simulation in simple environments.
Source for https://fullstackdeeplearning.com
Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.