960 skills found · Page 17 of 32
shreydan / PythonUseful Python scripts written in 3! Uses a lot of modules and APIs.
Sirajmolla / Hacktoberfest 2022About 🌸ꗥ～ꗥ🌸 𝐄𝐕𝐄𝐑𝐘𝐎𝐍𝐄 𝐈𝐒 𝐖𝐄𝐋𝐂𝐎𝐌𝐄 𝐓𝐎 𝐇𝐀𝐂𝐊𝐓𝐎𝐁𝐄𝐑𝐅𝐄𝐒𝐓-𝟐𝟎𝟐𝟐 𝐄𝐕𝐄𝐍𝐓𝐒 𝐀𝐍𝐃 𝐁𝐄 𝐀 𝐏𝐀𝐑𝐓 𝐎𝐅 𝐓𝐇𝐄 𝐎𝐏𝐄𝐍-𝐒𝐎𝐔𝐑𝐂𝐄 𝐒𝐎𝐅𝐓𝐖𝐀𝐑𝐄 𝐂𝐎𝐌𝐌𝐔𝐍𝐈𝐓𝐘. 🌸ꗥ～ꗥ🌸 https://github.com/Sirajmolla/Hackoberfest-2022 Topics open-source developer-experience learning-by-doing maintainer hactoberfest hactoberfest-accepted hactoberfest-starter
InsaneMonster / Telerl2021GitHub for the article Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic (Fabio Saggese, Luca Pasqualini, Marco Moretti, Andrea Abrardo)
lethaiq / AwesomeUncertaintyEstimationThis repository contains recent research on uncertainty estimation. Inspired from other 'awesome' github pages like awesome-deep-learning.
Manishak798 / Python PracticeRepository for Python Projects and Scripts This GitHub repository contains a collection of Python projects, scripts, and code snippets that I have developed. Explore my work related to data analysis, web development, automation, machine learning, and more. Feel free to collaborate, provide feedback, or use the code for your own projects.
ssingh82 / Rl NavThis is the accompannying code for the paper "SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning" and "Data driven strategies for Active Monocular SLAM using Inverse Reinforcement Learning" To run the code, download this repository and a modified version of PTAM from https://github.com/souljaboy764/ethzasl_ptam/ to your catkin workspace and compile it. For running the agent on maps: In the turtlebot_gazebo.launch change the argument "world_file" to the corresponding map world file (map1.world, map2.world, map3.world, corridor.world or rooms.world) and set the corresponding initial positions in joystick.launch Open 4 new terminals Terminal 1: roslaunch rl_nav turtlebot_gazebo.launch Terminal 2: roslaunch ptam ptam.launch Terminal 3: roslaunch rl_nav joystick.launch Terminal 4: rosrun rviz rviz -d `rospack find rl_nav`/ptam.rviz Press the "start" button on the xbox joystick or publish a message of type "std_msgs/Empty" to /rl/init Once PTAM is initialized, give an intermediate point using the "2D Pose Estimate" button in rviz and give the goal location using "2D Nav Goal" For traning the agent, In the turtlebot_gazebo.launch change the argument "world_file" to training.world Open 3 new terminals Terminal 1: roslaunch rl_nav turtlebot_gazebo.launch Terminal 2: roslaunch ptam ptam.launch Terminal 3: roslaunch rl_nav train.launch Press the "start" button on the xbox joystick or publish a message of type "std_msgs/Empty" to /rl/init Once PTAM is initialized, press the "A" button on the xbox controller to start training. For testing the agent on steps to breakage, In the turtlebot_gazebo.launch change the argument "world_file" to training.world Open 3 new terminals Terminal 1: roslaunch rl_nav turtlebot_gazebo.launch Terminal 2: roslaunch ptam ptam.launch Terminal 3: roslaunch rl_nav test.launch Press the "start" button on the xbox joystick or publish a message of type "std_msgs/Empty" to /rl/init Once PTAM is initialized, press the "A" button on the xbox controller to start testing. For running the IRL agent, just change the weights in qMatData.txt to the weights in qMatData_SGD.txt and run any of the above. For training the IRL agent, run IRLAgent.py with the data from https://www.dropbox.com/s/qnp8rs92kbmqz1e/qTrain.txt?dl=0 in the same folder as IRLAgent.py, which will save the final Q values in qRegressor.pkl
learning3d / Learning3d.github.ioNo description available
aparo / Opensearch Learning To RankFork of https://github.com/o19s/elasticsearch-learning-to-rank to work with OpenSearch
kalemontes / OIDCAndroidLibAndroid library module for OIDC inspired from https://github.com/learning-layers/android-openid-connect
ancorasir / As DeepClawWan, F. & Song, C., 2017, as_DeepClaw: An Arcade Claw Robot for Logical Learning with A Hybrid Neural Network. Github, https://github.com/ancorasir/as_DeepClaw
shah0150 / SASS TutorialLearning SASS? Here is simple SASS tutorial. Star this on Github? +1.
arnaghosh / NDL MNIGithub repository for Neuroscience and Deep Learning reading group at the Montreal Neurological Institute
nisalgunawardhana / GenAIStarterA concise collection of runnable .NET sample apps that demonstrate practical integration with GitHub Models and Azure AI Foundry. includes clear setup steps, environment configuration, and token/security guidance—ideal for learning, prototyping, and extending AI-enabled .NET applications.
fchavonet / Unity 2d Endless RunnerRecreating Chrome's Dino T-Rex game in Unity. Educational focus on game dev principles, Git, and GitHub integration. Non-profit, learning-oriented project with room for improvement.
bzkrtslh / Enriched PointNetPP And RandLA NET Point Cloud Semantic SegmentationThis GitHub repository has been created for the research project titled "Improving Aerial Targeting Precision: A Study on Point Cloud Semantic Segmentation with Advanced Deep Learning Algorithms."
chu278 / CODE<<Python>>Learning with fucking-algorithm(https://github.com/labuladong/fucking-algorithm)
barath-uni / FlutterDartBluerprintA Complete Github Repository with all required resources to start learning to program with Flutter/Dart and develop awesome Mobile/Web/Desktop Application
LIVIAETS / Miccai 2020 Weakly Supervised TutorialMaterial of the MICCAI 2020 tutorial on weakly supervised learning for semantic segmentation. The updated tutorial (2021 and onwards) is available there: https://github.com/LIVIAETS/miccai_weakly_supervised_tutorial
Vortex-16 / DevTrackAI-powered developer growth platform that combines GitHub analytics, learning streaks, and intelligent insights to showcase consistency, real-world progress, and engineering maturity-beyond traditional portfolios.
CodeWithPritom / Learn Linux OverTheWire Bandit Hands-on Linux & Security lab focused on mastering the OverTheWire: Bandit challenges using GitHub Codespaces. This workspace is dedicated to learning terminal-based problem solving, core Linux commands, and foundational cybersecurity concepts through practical application.
