Accelerated minigrid environments with JAX
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Updated
May 29, 2024 - Python
Accelerated minigrid environments with JAX
Spiral's Machine Learning Library
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Gym environments for logistics tasks that can be described as "Move something from A to B"
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
3D propeller Design project with Reinforcement Learning
Stateful implementations of OPE algorithms, designed for use in the development of offline RL models
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
📘 The MLOps stack component for experiment tracking
算法 数学 科学。这是一个全网收藏夹; 一个备忘录; 一个To-Do List; 未来的技能点; 个人知识库; 也是一个算法工程师的网址导航.热爱生活, 不断探索.Have fun : )
The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.
A collection of RL gym environments built with PyBullet. In these environments, the agent needs to learn to grasp deformable object such as shoe insoles or pillows.
A Gymnasium environment and RL algorithms for navigation on human arms using ultrasound/MRI
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