Pinned Repositories
google-research
Google Research
inductive-shallow-node-embedding
This is the reference implementation of the Inductive Shallow Node Embedding paper.
pytorch-gnns
VectorHub
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
ricsi98's Repositories
ricsi98/google-research
Google Research
ricsi98/inductive-shallow-node-embedding
This is the reference implementation of the Inductive Shallow Node Embedding paper.
ricsi98/pytorch-gnns
ricsi98/VectorHub
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
ricsi98/alkfejl
ricsi98/decentralized-search-engine
ricsi98/ExamToken
ricsi98/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
ricsi98/HavanaBeachDeepLearning
ricsi98/isne
ricsi98/karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
ricsi98/mandelbrot
ricsi98/million-playlists
ricsi98/ml-algos
ricsi98/mol-dqn-core
ricsi98/NeuralisHalozatok
ricsi98/pytorch-cifar
95.47% on CIFAR10 with PyTorch
ricsi98/rbm-smple
Simple working implementation of Restricted Boltzmann Machines learning algorithm in Python using numpy. Works on MNIST dataset.
ricsi98/recommendation-demo
ricsi98/sentiment_analysis_api
ricsi98/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
ricsi98/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
ricsi98/utvalasztas_verseny
ricsi98/Zsuzsi