civicss

civicss's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python83k1.7k45.6k22.4k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.9k601183k

• songyouwei/ABSA-PyTorch

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

  Language:Python2k34174523

• dynamicslab/pysindy

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

  Language:Python1.4k32364312

• itrump/ssfree

  provide shadowsocks free tutorial and free account

  Language:Shell6383728124

• SpaceLearner/Awesome-DynamicGraphLearning

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

  Language:Shell56114278

• wildltr/ptranking

  Learning to Rank in PyTorch

  Language:Python472101969

• fuqiuai/lihang_algorithms

  用python和sklearn两种方法实现李航《统计学习方法》中的算法

  Language:Python334200230

• ArrasL/LRP_for_LSTM

  Layer-wise Relevance Propagation (LRP) for LSTMs.

  Language:Python222131460

• HaiYangLib/ApolloAnnotation

  Annotation for Apollo

  Language:C++3610

• TangZhaoXiang/MachineLearning-InterviewQuestions

  机器学习面试题汇总

  11102

• csjtx1021/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.

  Language:Python8101

• jiaozhiye/ccjsoft

  Language:JavaScript8103