mxz12119's Stars
zudi-lin/pytorch_connectomics
PyTorch Connectomics: segmentation toolbox for EM connectomics
connectome-neuprint/neuprint-python
Python client utilties for interacting with the neuPrint connectome analysis service
mlech26l/ncps
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
raminmh/liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
Intenzo21/Brain-Inspired-Deep-Imitation-Learning-for-Autonomous-Driving-Systems
A novel brain-inspired deep imitation method with strong generalisation ability.
AnselCmy/FedE
Source code for IJCKG 2021 paper "FedE: Embedding Knowledge Graphs in Federated Setting"
Zymrael/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
ndey96/GCNN-Explainability
Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories
divelab/DIG
A library for graph deep learning research
FreedomIntelligence/Medical_NLP
Medical NLP Competition, dataset, large models, paper
dapurv5/awesome-question-answering
Resources, datasets, papers on Question Answering
XinyiZ001/CapsGNN
Tensorflow implementation of Capsule Graph Neural Network
acburigo/CapsNet
CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.
bdsaglam/torch-scae
PyTorch implementation of Stacked Capsule Auto-Encoders
akosiorek/stacked_capsule_autoencoders
andyweizhao/NLP-Capsule
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
daiquocnguyen/CapsE
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
shijx12/KQAPro_Baselines
Pytorch implementation of baseline models of KQA Pro, a large-scale dataset of complex question answering over knowledge base.
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
patrickfuller/blender-chemicals
Draws chemicals in Blender using common input formats (smiles, molfiles, cif files, etc.)
yjwu17/STBP-for-training-SpikingNN
Spatio-temporal BP for SNNs
clear-nus/TactileSGNet
A spiking graph neural network for event-based learning
NiuTrans/ABigSurvey
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
pykeen/pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
BUPT-GAMMA/OpenHINE
An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)
salesforce/MultiHopKG
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
THU-KEG/MetaKGR
Source codes and datasets for EMNLP 2019 paper "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations"