A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

《多模态大模型：新一代人工智能技术范式》作者：刘阳，林倞

[Embodied-AI-Survey-2025] Paper List and Resource Repository for Embodied AI

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

GMM+GMR from multiple kinesthetic demonstrations

Task Parameterized Gaussian Mixture Model (TP-GMM) and Regression implemented purely on numpy

Efficient generalization and extension of the online adaptation capabilities of Dynamics Moment Primitives

Learning Task-parameterzied Skills from Few Demonstrations

Movement Primitives in PyTorch

Reinforcement Learning through Vrep

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

Supplementary code for "Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion"

Developing an efficient way to solve robotics assembly tasks by using RL and optimal control

Efficiency, Stability and Generalization Analysis for Reinforcement Learning on Robotic Peg-in-hole Assembly

✏️ Simulation of UR5 robot assembly using vrep and python

Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.

A PyTorch implementation of SRNTT, which is a novel RefSR method.

Related papers and codes for vision-based robotic grasping

[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

GFF: Gated Fully Fusion for Semantic Segmentation

Light-Weight RefineNet for Real-Time Semantic Segmentation

这是一个pspnet-pytorch的源码，可以用于训练自己的模型。

PyTorch implementation of UNet++ (Nested U-Net).

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.