Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)

The reinforcement learning training code for AgiBot X1.

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.

Mamba SSM architecture

Implementation of Dreamer v3 in pytorch.

A Reinforcement Learning Project using PPO + LSTM

Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]

Collection of papers on state-space models

Fast Segment Anything

An educational AI robot based on NVIDIA Jetson Nano.

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Tensorflow implementation of DeepMind paper - "Learning to Navigate in Complex Environments"

Implementation of DeepMind paper - "Learning to Navigate in Complex Environments"

Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion

Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6

PyTorch implementation of two variants of the Harlow visual fixation task (PsychLab and 1D version). Reproduces the results found in two papers. Check the ReadMe for more details!

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

Foundation Policies with Hilbert Representations (ICML 2024)

Mobile manipulation research tools for roboticists

VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs

北航毕设论文LaTeX模板

Simple reference implementation of GraphSAGE.

Simple language-driven navigation tasks for studying compositional learning

Source code for Champion of KDD Cup 2020 Reinforcement Learning Track Dispatching Task

A student implementation of Alpha Go Zero

Attention based model for learning to solve different routing problems

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