vermaMachineLearning

vermaMachineLearning's Stars

• zziz/pwc

  This repository is no longer maintained.

  15.4k1.2k242.5k

• allenai/allennlp

  An open-source NLP research library, built on PyTorch.

  Language:Python11.8k2802.6k2.2k

• mars-project/mars

  Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

  Language:Python2.7k931.2k328

• uncertainty-toolbox/uncertainty-toolbox

  Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

  Language:Python1.8k3534130

• rusty1s/pytorch_scatter

  PyTorch Extension Library of Optimized Scatter Operations

  Language:Python1.6k17396181

• thunlp/KRLPapers

  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

  Language:TeX1.5k1164247

• Sroy20/machine-learning-interview-questions

  This repository is to prepare for Machine Learning interviews.

  1.5k831392

• weihua916/powerful-gnns

  How Powerful are Graph Neural Networks?

  Language:Python1.2k2623222

• PetarV-/DGI

  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

  Language:Python6331219136

• ankurtaly/Integrated-Gradients

  Attributing predictions made by the Inception network using the Integrated Gradients method

  Language:Jupyter Notebook6051116102

• RexYing/diffpool

  Language:Python4851140136

• hitvoice/DrQA

  A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

  Language:Python4012031109

• manzilzaheer/DeepSets

  Language:Jupyter Notebook2858061

• astrofrog/fast-histogram

  :zap: Fast 1D and 2D histogram functions in Python :zap:

  Language:C268193728

• TrustAGI-Lab/ARGA

  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

  Language:Python18571658

• chrsmrrs/k-gnn

  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

  Language:C++18442245

• TianhongDai/integrated-gradient-pytorch

  This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

  Language:Python1825326

• HKUST-KnowComp/MnemonicReader

  A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

  Language:Python13681538

• nd7141/AWE

  Compute graph embeddings via Anonymous Walk Embeddings

  Language:Jupyter Notebook817423

• wengong-jin/chemprop

  Chemical Property Prediction with Graph Convolutional Networks

  Language:Python6013154

• Networks-Learning/nevae

  Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019

  Language:Python549814

• shalini1194/SAKT

  Language:Python401110

• vermaMachineLearning/Universal-Graph-Embedding-Neural-Network

  Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning

  Language:Python403212

• annamalai-nr/subgraph2vec_tf

  This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

  Language:Python263211

• vector-1127/SACNNs

  a unified convolution on both Euclidean and non-Euclidean domains

  25324

• horacepan/MLGkernel

  Implementation of the Multiscale Laplacian Graph Kernel

  Language:C++18218

• felixyu/cbe

  Circulant Binary Embedding

  Language:MATLAB16219

• rmgarnett/fast_wl

  A fast MATLAB implementation of the Weisfeiler--Lehman graph transformation and associated kernel.

  Language:Matlab11215

• epfl-lts2/fears-experiments

  Experiments using the Fast Eigenspace Approximation using Random Signals (FEARS) method.

  Language:MATLAB5601

• vermaMachineLearning/Pytorch-JIT-Recurrent-Highway-Network

  A fast and clean implementation of Recurrent Highway Network in Pytorch JIT

  Language:Python5300