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EquiTriton is a project that seeks to implement high-performance kernels for commonly used building blocks in equivariant neural networks, enabling compute efficient training and inference.
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
Clean PyTorch implementation for equivariant robot learning with point cloud input
Memoria is a human-inspired memory architecture for neural networks.
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge)
python tools for the budding quantum bettabilitarian
Extended Convolution Histogram of Orientations
Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Official JAX implementation of neural isometries - taming transformations for equivariant ML
neural networks to learn Koopman eigenfunctions
Official PyTorch implementation of the NeurIPS 2022 paper "Improving Diffusion Models for Inverse Problems using Manifold Constraints (https://arxiv.org/abs/2206.00941)"
Differentiable Spherical Harmonic Transforms in PyTorch
Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
[ICCV'23 Oral] The introduction and toolkit for EqBen Benchmark
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
This repository compiles a list of papers related to Video LLM.
This repository compiles a list of papers related to the application of video technology in the field of robotics! Star⭐ the repo and follow me if you like what you see🤩.
A simple to use Python math library for SE3 operations useful in computer vision, robotics, and AR/VR
A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
GraspNet and Pointnet2/PointNet++ PyTorch Upgrade (v1.7.1 -> v1.13.1)
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Vector (and Scalar) Quantization, in Pytorch
Library to compute general polynomials from tensors to tensors in JAX.
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"