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[RSS 2021] An End-to-End Differentiable Framework for Contact-Aware Robot Design
[CoRL 2022] Efficient Tactile Simulation with Differentiability for Robotic Manipulation
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.
Plugin to simulate tactile sensors in MuJoCo
Implementation of drake contact surfaces in MuJoCo.
This package provides a framework to automatically perform grasp tests on an arbitrary object model of choice.
A collection of RL gymnasium environments for learning to grasp 3D deformable objects.
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Simulator of vision-based tactile sensors.
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
Implementation of ViViT: A Video Vision Transformer
使用深度学习模型LSTM和ConvLSTM结合Attention，对金融衍生品的成交持仓比指标进行预测
A Topological-Attention ConvLSTM Network and Its Application to EM Images, MICCAI 2021
A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction
Implementation of TAAConvLSTM and SAAConvLSTM used in "Attention Augmented ConvLSTM for Environment Prediction"
document classification using LSTM + self attention
Self-Attention ConvLSTM for Spatiotemporal Prediction, described in `https://ojs.aaai.org//index.php/AAAI/article/view/6819`, test on MovingMNIST.
Author's PyTorch implementation of TD3 for OpenAI gym tasks
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
DREAM: Deep Robot-to-Camera Extrinsics for Articulated Manipulators (ICRA 2020)
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Latex code for making neural networks diagrams
An educational resource to help anyone learn deep reinforcement learning.