Pinned Repositories
dpmmpython
Python wrapper for the DPMMSubCluster Julia package for inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
dpmmpythonStreaming
Python wrapper for the DPMMSubClusterStreaming.jl Julia package.
DPMMSubClusters.jl
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
pdc-dp-means
"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]
VersatileHDPMixtureModels.jl
Code for our UAI '20 paper "Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes"
CGDL-for-Open-Set-Recognition
Code for CVPR2020 paper: Conditional Gaussian Distribution Learning for Open Set Recognition
Clustering.jl
A Julia package for data clustering
daft
Render some probabilistic graphical models using matplotlib
explore_imagenet
Small tool to explore ImageNet (WordNet) structure.
resnet_embeddings_extractor
Small and easily modifiable notebook to extract embeddings from pre trained resnet50
dinarior's Repositories
dinarior/explore_imagenet
Small tool to explore ImageNet (WordNet) structure.
dinarior/resnet_embeddings_extractor
Small and easily modifiable notebook to extract embeddings from pre trained resnet50
dinarior/daft
Render some probabilistic graphical models using matplotlib
dinarior/CGDL-for-Open-Set-Recognition
Code for CVPR2020 paper: Conditional Gaussian Distribution Learning for Open Set Recognition
dinarior/Clustering.jl
A Julia package for data clustering
dinarior/despot-1
The DESPOT online POMDP solver
dinarior/dinarior.github.io
dinarior/Distributions.jl
A Julia package for probability distributions and associated functions.
dinarior/dpmm_subclusters.jl
dinarior/DPMMSubClusters.jl
Distributed MCMC Inference in Dirichlet Process Mixture Models
dinarior/General
The official registry of general Julia packages
dinarior/maotai
Tools for Matrix Algebra, Optimization and Inference
dinarior/model-zoo
Please do not feed the models
dinarior/NearestNeighbors.jl
High performance nearest neighbor data structures and algorithms for Julia.
dinarior/OpenLongTailRecognition-OLTR
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
dinarior/os192Assignment3
dinarior/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
dinarior/scikit-learn
scikit-learn: machine learning in Python
dinarior/stream
A framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package
dinarior/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
dinarior/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
dinarior/vision
Datasets, Transforms and Models specific to Computer Vision
dinarior/www.julialang.org
Julia Project website