#python #baselines #gym #machine_learning #openai #pytorch #reinforcement_learning #reinforcement_learning_algorithms #robotics #sde #stable_baselines #toolbox
https://github.com/DLR-RM/stable-baselines3
https://github.com/DLR-RM/stable-baselines3
GitHub
GitHub - DLR-RM/stable-baselines3: PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms. - GitHub - DLR-RM/stable-baselines3: PyTorch version of Stable Baselines, reliable implementatio...
#cplusplus #computer_animation #game_development #kinematics #pybullet #reinforcement_learning #robotics #simulation #simulator #virtual_reality
https://github.com/bulletphysics/bullet3
https://github.com/bulletphysics/bullet3
GitHub
GitHub - bulletphysics/bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual…
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. - bulletphysics/bullet3
#html #arduino #gps #landscaping #lawn_mower #path_finding #raspberry_pi #robomow #robot #robotics #ros #rtk
https://github.com/ClemensElflein/OpenMower
https://github.com/ClemensElflein/OpenMower
GitHub
GitHub - ClemensElflein/OpenMower: Let's upgrade cheap off-the-shelf robotic mowers to modern, smart RTK GPS based lawn mowing…
Let's upgrade cheap off-the-shelf robotic mowers to modern, smart RTK GPS based lawn mowing robots! - ClemensElflein/OpenMower
#python #deep_reinforcement_learning #gym #hyperparameter_optimization #hyperparameter_search #hyperparameter_tuning #lab #openai #optimization #pybullet #pybullet_environments #pytorch #reinforcement_learning #rl #robotics #sde #stable_baselines #tuning_hyperparameters
https://github.com/DLR-RM/rl-baselines3-zoo
https://github.com/DLR-RM/rl-baselines3-zoo
GitHub
GitHub - DLR-RM/rl-baselines3-zoo: A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter…
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included. - DLR-RM/rl-baselines3-zoo
#python #ai #computer_vision #deep_learning #deep_reinforcement_learning #reinforcement_learning #research #robotics #sim2real #simulator
https://github.com/facebookresearch/habitat-lab
https://github.com/facebookresearch/habitat-lab
GitHub
GitHub - facebookresearch/habitat-lab: A modular high-level library to train embodied AI agents across a variety of tasks and environments.
A modular high-level library to train embodied AI agents across a variety of tasks and environments. - facebookresearch/habitat-lab
#cplusplus #ai #computer_vision #robotics #sim2real #simulator
https://github.com/facebookresearch/habitat-sim
https://github.com/facebookresearch/habitat-sim
GitHub
GitHub - facebookresearch/habitat-sim: A flexible, high-performance 3D simulator for Embodied AI research.
A flexible, high-performance 3D simulator for Embodied AI research. - facebookresearch/habitat-sim
👍2
#python #ai #control #decision_making #distributed_computing #machine_learning #marl #model_based_reinforcement_learning #multi_agent_reinforcement_learning #pytorch #reinforcement_learning #rl #robotics #torch
https://github.com/pytorch/rl
https://github.com/pytorch/rl
GitHub
GitHub - pytorch/rl: A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning. - pytorch/rl
👍1
#javascript #batch_processing #batch_script #code_free #crawler #data_collection #frontend #gui #html #input_parameters #layman #parameters #robotics #rpa #scraper #spider #visual #visualization #visualprogramming #web #www
EasySpider is a free, code-free web crawler software that helps you collect data from websites easily. You can use it without writing any code, just by selecting the content you want to operate on a web page and following the prompts. It can also be run from the command line, making it easy to integrate into other systems. This software is very user-friendly and allows you to collect data from websites quickly, even if you don't know how to code. It also supports various proxy services and captcha solutions, making data collection more efficient. Using EasySpider can save you a lot of time and effort in collecting web data.
https://github.com/NaiboWang/EasySpider
EasySpider is a free, code-free web crawler software that helps you collect data from websites easily. You can use it without writing any code, just by selecting the content you want to operate on a web page and following the prompts. It can also be run from the command line, making it easy to integrate into other systems. This software is very user-friendly and allows you to collect data from websites quickly, even if you don't know how to code. It also supports various proxy services and captcha solutions, making data collection more efficient. Using EasySpider can save you a lot of time and effort in collecting web data.
https://github.com/NaiboWang/EasySpider
GitHub
GitHub - NaiboWang/EasySpider: A visual no-code/code-free web crawler/spider易采集:一个可视化浏览器自动化测试/数据采集/爬虫软件,可以无代码图形化的设计和执行爬虫任务。别名:…
A visual no-code/code-free web crawler/spider易采集:一个可视化浏览器自动化测试/数据采集/爬虫软件,可以无代码图形化的设计和执行爬虫任务。别名:ServiceWrapper面向Web应用的智能化服务封装系统。 - NaiboWang/EasySpider
#other #algorithms #bioinformatics #computational_biology #computational_physics #computer_architecture #computer_science #computer_vision #database_systems #databases #deep_learning #embedded_systems #machine_learning #quantum_computing #reinforcement_learning #robotics #security #systems #web_development
This collection of computer science courses offers a wide range of topics, from introductory programming to advanced specialized fields like machine learning, blockchain, and quantum computing. Here’s a simple summary of the benefits You can learn various aspects of computer science, including programming, algorithms, data structures, computer systems, software engineering, artificial intelligence, machine learning, and more.
- **Diverse Resources** There are courses on specific areas such as blockchain development, quantum computing, computational finance, and robotics, which can help you specialize in your area of interest.
- **Practical Skills** Most of these resources are available online for free, making quality education accessible to everyone.
Overall, this collection is a valuable resource for anyone looking to learn or deepen their knowledge in computer science.
https://github.com/Developer-Y/cs-video-courses
This collection of computer science courses offers a wide range of topics, from introductory programming to advanced specialized fields like machine learning, blockchain, and quantum computing. Here’s a simple summary of the benefits You can learn various aspects of computer science, including programming, algorithms, data structures, computer systems, software engineering, artificial intelligence, machine learning, and more.
- **Diverse Resources** There are courses on specific areas such as blockchain development, quantum computing, computational finance, and robotics, which can help you specialize in your area of interest.
- **Practical Skills** Most of these resources are available online for free, making quality education accessible to everyone.
Overall, this collection is a valuable resource for anyone looking to learn or deepen their knowledge in computer science.
https://github.com/Developer-Y/cs-video-courses
GitHub
GitHub - Developer-Y/cs-video-courses: List of Computer Science courses with video lectures.
List of Computer Science courses with video lectures. - Developer-Y/cs-video-courses
#python #3d_computer_vision #computer_vision #embodied_ai #reinforcement_learning #robot_learning #robot_manipulation #robotics #robotics_simulation #simulation_environment
ManiSkill 3 is a powerful tool for simulating and training robots, especially for tasks that involve manipulating objects. It uses GPU power to collect and simulate data very quickly, up to 30,000 frames per second, which is much faster than other simulators. This makes it great for testing and training robots in various scenarios without needing a lot of time or hardware. It supports different types of robots and tasks, and it's easy to set up and use, even on Google Colab without your own hardware. However, it's still in beta, so some features are not yet available and there might be bugs. Overall, ManiSkill 3 helps users train and test robots much more efficiently.
https://github.com/haosulab/ManiSkill
ManiSkill 3 is a powerful tool for simulating and training robots, especially for tasks that involve manipulating objects. It uses GPU power to collect and simulate data very quickly, up to 30,000 frames per second, which is much faster than other simulators. This makes it great for testing and training robots in various scenarios without needing a lot of time or hardware. It supports different types of robots and tasks, and it's easy to set up and use, even on Google Colab without your own hardware. However, it's still in beta, so some features are not yet available and there might be bugs. Overall, ManiSkill 3 helps users train and test robots much more efficiently.
https://github.com/haosulab/ManiSkill
GitHub
GitHub - haosulab/ManiSkill: SAPIEN Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark…
SAPIEN Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc. - haosulab/ManiSkill
#python #baselines #gsde #gym #machine_learning #openai #python #pytorch #reinforcement_learning #reinforcement_learning_algorithms #robotics #sb3 #sde #stable_baselines #toolbox
Stable Baselines3 (SB3) is a tool that makes it easy to use reinforcement learning algorithms with PyTorch. It provides reliable and tested implementations of these algorithms, which helps researchers and developers build projects quickly. SB3 offers many features like custom environments, policies, and integration with other tools like Tensorboard and Hugging Face. It also has detailed documentation and examples to help beginners get started. This tool assumes you have some knowledge of reinforcement learning but provides resources to learn more. Using SB3 can save time and effort by providing a stable base for your projects, allowing you to focus on new ideas and improvements.
https://github.com/DLR-RM/stable-baselines3
Stable Baselines3 (SB3) is a tool that makes it easy to use reinforcement learning algorithms with PyTorch. It provides reliable and tested implementations of these algorithms, which helps researchers and developers build projects quickly. SB3 offers many features like custom environments, policies, and integration with other tools like Tensorboard and Hugging Face. It also has detailed documentation and examples to help beginners get started. This tool assumes you have some knowledge of reinforcement learning but provides resources to learn more. Using SB3 can save time and effort by providing a stable base for your projects, allowing you to focus on new ideas and improvements.
https://github.com/DLR-RM/stable-baselines3
GitHub
GitHub - DLR-RM/stable-baselines3: PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms. - GitHub - DLR-RM/stable-baselines3: PyTorch version of Stable Baselines, reliable implementatio...