mzalaya

mzalaya's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python59.7k4721366k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28.6k65551513k

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.7k1954581.6k

• probml/pml-book

  "Probabilistic Machine Learning" - a book series by Kevin Murphy

  Language:Jupyter Notebook5.2k88668609

• dsgiitr/graph_nets

  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

  Language:Jupyter Notebook1.2k364227

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python9481526140

• DynamicTimeWarping/dtw-python

  Python port of R's Comprehensive Dynamic Time Warp algorithms package

  Language:Python30143437

• VinceMarron/style_transfer

  Style Transfer as Optimal Transport

  Language:Jupyter Notebook2988132

• kilianFatras/awesome-optimal-transport

  A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.

  2199028

• AlexiaJM/MaximumMarginGANs

  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"

  Language:Python17811124

• LiqunChen0606/Graph-Optimal-Transport

  Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"

  Language:Python1536325

• openopt/copt

  A Python library for mathematical optimization

  Language:Python139135235

• koshian2/swd-pytorch

  Sliced Wasserstein Distance (SWD) in PyTorch

  Language:Python1103213

• eifuentes/swae-pytorch

  Implementation of the Sliced Wasserstein Autoencoder using PyTorch

  Language:Python1012414

• tvayer/FGW

  Code for Optimal Transport for structured data with application on graphs

  Language:Python984518

• BorisMuzellec/MissingDataOT

  A Pytorch implementation of missing data imputation using optimal transport.

  Language:Jupyter Notebook974416

• balcilar/Spectral-Designed-Graph-Convolutions

  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

  Language:Python50316

• VinAIResearch/DSW

  Distributional Sliced-Wasserstein distance code

  Language:Python494311

• kilianFatras/JUMBOT

  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"

  Language:Python462513

• Hermina/GOT

  Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"

  Language:Jupyter Notebook41314

• kimiandj/gsw

  Language:Jupyter Notebook392010

• biweidai/SINF

  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)

  Language:Python364311

• matenure/OTCoarsening

  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport

  Language:Python36328

• slinderman/stats271sp2021

  Material for STATS271: Applied Bayesian Statistics (Spring 2021)

  Language:Jupyter Notebook264012

• trneedham/Spectral-Gromov-Wasserstein

  Graph matching and clustering by comparing heat kernels via optimal transport.

  Language:Python26304

• jshe/wasserstein-2

  Language:Python13202

• trneedham/gromov-wasserstein-statistics

  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance

  Language:Jupyter Notebook13304

• D3lt4lph4/slurm_job_examples

  Language:Python8102

• ShwanMario/max_sliced_wasserstein_distance

  max_sliced_wasserstein_distance

  Language:Python5201

• LawrenceMMStewart/Semi-Supervised-Learning-with-OT

  Language:Python4100