Stars
Exercises for the course "Space-time methods" at the Leibniz University Hannover in the winter semester 2023/2024
MUA-RL: MULTI-TURN USER-INTERACTING AGENT REINFORCEMENT LEARNING FOR AGENTIC TOOL USE
A simple pytorch implementation of Langevin Monte Carlo algorithms.
This repository contains the code for the paper "Tensor train based isogeometric analysis for PDE approximation on parameter dependent geometries".
Create a dataset for teaching machine learning and deep learning
A comprehesive survey about foundation models for weather and cliamte data understanding.
code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
HOSCF: Efficient decoupling algorithms for finding the best rank-one approximation of higher-order tensors
HOSCF: EFFICIENT DECOUPLING ALGORITHMS FOR FINDING THE1 BEST RANK-ONE APPROXIMATION OF HIGHER-ORDER TENSORS
Dynamical low rank training for neural networks
Muon is an optimizer for hidden layers in neural networks
Wrapper to train a tf.Module or tf.keras.Model using (L-)BFGS optimizer from Tensorflow Probability
An object-oriented, open-source finite-element library for the simulation of multi-physics problems
TorchCFM: a Conditional Flow Matching library
A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks
[ICLR 2024] Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
This is an unofficial implementation of the KRnet with Pytorch, which Tensorflow originally implemented.
Guide for both TensorFlow and PyTorch in comparative way
multiphysics FEM solver based on Fenics library
Attention Is All You Need | a PyTorch Tutorial to Transformers
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more