Starred repositories
Graphormer is a general-purpose deep learning backbone for molecular modeling.
An ASI plugin for Black Myth: Wukong that features expanded ultrawide support and graphical tweaks.
Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems
Authenticator generates 2-Step Verification codes in your browser.
Koopman Kernels for Learning Dynamical Systems from Trajectory Data
neural networks to learn Koopman eigenfunctions
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
[ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN
Benchmark for efficiency in memory and time of different KAN implementations.
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary ord…
Repository for the codes used the Neuromorphic Overparameterisation paper
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
Implementation of GigaGAN: Scaling up GANs for Text-to-Image Synthesis
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
量化机器学习/深度学习模型(Model Zoo);Alpha 因子(Factor Zoo); 量化资源以及相关论文代码
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Differentiable Finite Element Method with JAX
Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"