civicss

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

neural_ode_processes_for_network_dynamics-master

Neural ODE Processes for Network Dynamics (NDP4ND), a new class of stochastic processes governed by stochastic data-adaptive network dynamics, is to overcome the fundamental challenge of learning accurate network dynamics with sparse, irregularly-sampled, partial, and noisy observations.

MachineLearning-InterviewQuestions

机器学习面试题汇总

ssfree

provide shadowsocks free tutorial and free account

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Awesome-DynamicGraphLearning

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

ApolloAnnotation

Annotation for Apollo

ptranking

Learning to Rank in PyTorch

GNNPapers

Must-read papers on graph neural networks (GNN)

lihang_algorithms

用python和sklearn两种方法实现李航《统计学习方法》中的算法

ABSA-PyTorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

LRP_for_LSTM

Layer-wise Relevance Propagation (LRP) for LSTMs.

ccjsoft