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Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
An educational resource to help anyone learn deep reinforcement learning.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Code for the paper "Exploration by Random Network Distillation"
A generative world for general-purpose robotics & embodied AI learning.
A curated list of Diffusion Model in RL resources (continually updated)
Official code and checkpoint release for mobile robot foundation models: GNM, ViNT, and NoMaD.
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
A collection of robotics simulation environments for reinforcement learning
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
Mobile manipulation research tools for roboticists
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…
A collection of resources and papers on Diffusion Models
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Code and Data for Paper: PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
[ICML 2024] Potential Based Diffusion Motion Planning.
Denoising Diffusion Probabilistic Models
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
[ICLR 2025] 3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting