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[ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
Empowering everyone to build reliable and efficient software.
🦀 Small exercises to get you used to reading and writing Rust code!
A modern and customizable python UI-library based on Tkinter
YOLOv8 Target Model plugin for Autodistill
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Go through the quick tutorial on how to install and run ROS on your windows system without any dual-booting or using VM. You can give a quick read to the blog I've written on the same.
Mastering Diverse Domains through World Models
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python code for Deep Reinforcement Learning with Transfer Learning in aReal Environment using DJI Tello
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Code for Sibling Rivalry and experiments presented in associated paper
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven explora…
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Set of robotic environments based on PyBullet physics engine and gymnasium.
A minimalist environment for decision-making in autonomous driving
An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
A library that provides users the ability to create event (loop) driven systems within the asyncio framework.
jawah / niquests
Forked from psf/requests“Safest, Fastest, Easiest, and Most advanced” Python HTTP Client. Production Ready! Drop-in replacement for Requests. HTTP/1.1, HTTP/2, and HTTP/3 supported.
tonybaloney / Pyjion
Forked from microsoft/PyjionPyjion - A JIT for Python based upon CoreCLR