Starred repositories
The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)
A generative world for general-purpose robotics & embodied AI learning.
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
Code associated to the paper "Deep learning of conjugate mappings"
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
A curated list of awesome CAE frameworks, libraries and software.
🤖 Machine Learning Summer School deadlines
Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].
Differentiable signal processing on the sphere for PyTorch
Neuromorphic Intermediate Representation reference implementation
Code implementing a neuromorphic, spiking backpropagation algorithm on Intel's neuromorphic research processor, codenamed Loihi
This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonality constraints over Steifel manifold in deep neural networks…
Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.
PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond (NeurIPS 2024)
Implementation of the AL-RNN architecture for dynamical systems reconstruction and time series forecasting.
Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"
[NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Reduced-order modelling using an atlas of charts
Code for paper "Trust-Region Eigenvalue Filtering for Projected Newton", SIGGRAPH Asia 2024
Graphormer is a general-purpose deep learning backbone for molecular modeling.