SlienceSpring's Stars
bloomberg/memray
Memray is a memory profiler for Python
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
zotero-chinese/styles
中文 CSL 样式
GT-RIPL/Awesome-LLM-Robotics
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
mit-han-lab/bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
zjunlp/LLMAgentPapers
Must-read Papers on LLM Agents.
AGI-Edgerunners/LLM-Agents-Papers
A repo lists papers related to LLM based agent
SciML/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
idrl-lab/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
nasa/cFS
The Core Flight System (cFS)
benmoseley/harmonic-oscillator-pinn
Code accompanying my blog post: So, what is a physics-informed neural network?
jinyeying/night-enhancement
[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564
benmoseley/FBPINNs
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
corfyi/UCMCTrack
[AAAI 2024] UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation. UCMCTrack achieves SOTA on MOT17 using estimated camera parameters.
lu-group/deeponet-fno
DeepONet & FNO (with practical extensions)
PointsCoder/GPT-Driver
Learning to Drive with GPT
NVlabs/AFNO-transformer
Adaptive FNO transformer - official Pytorch implementation
idrl-lab/idrlnet
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
neuraloperator/Geo-FNO
Geometry-Aware Fourier Neural Operator (Geo-FNO)
gegewen/ufno
U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow
nasa/OnAIR
The On-board Artificial Intelligence Research (OnAIR) Platform is a framework that enables AI algorithms written in Python to interact with NASA's cFS. It is intended to explore research concepts in autonomous operations in a simulated environment.
kirlf/cubesats
Additional materials to "Design of cooperative communication system based on CubeSat satellites" (master thesis) .
spaceml-org/STARCOP
Official code for STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning models :rainbow::artificial_satellite:
beinghorizontal/BhavFnO
Analyze FnO trends by using NSE Bhav copy
elsa-lab/MVATeam1
The source code for the challenge "Small Object Detection Challenge for Spotting Birds" in International Conference on Machine Vision Applications 2023 (MVA2023)
slimgroup/FNO4CO2
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators
herolab-uga/DGORL
DGORL: Distributed Graph Optimization based Relative Localization of Multi-Robot Systems
ReaFly/CVPR2023-Highlights
CVPR2023 Highlight papers
MaxHalford/spotgeo-challenge
🛰️ My solution to the Kelvins spotGEO challenge
MartinAstro/StatOD
Statistical orbit determination compatible with PINNs