Stars
[ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
[Official Repo] A Survey on Vision Mamba: Models, Applications and Challenges
GPT4 based personalized ArXiv paper assistant bot
A Prototype Website (Frontend only) created for a modern service based company GrowMore. This website has been built using the concepts of React JS, React Router DOM and Bootstrap.
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
A library for scientific machine learning and physics-informed learning
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
KinectFusion implemented in Python with PyTorch
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Fuse multiple depth frames into a TSDF voxel volume.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Code to evaluate a solution in the BEHAVIOR benchmark: starter code, baselines, submodules to iGibson and BDDL repos
Learning informed sampling distributions and information gains for efficient exploration planning.
A Python module for Hokuyo laser scanners (UST-10LX, UST-20LX, UST-30LX)
Welcome to the Physics-based Deep Learning Book (v0.2)
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
A natural language interface for computers
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Unofficial IROS 2022 SLAM paper list
Unofficial ICRA 2022 SLAM paper list
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Implementations of NeRF variants based on Taichi + PyTorch