Topic: "high-dimension-visualization"
ejohnson643/EMBEDR
Statistical quality evaluation of dimensionality reduction algorithms
Language: Jupyter Notebook - Size: 46.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 28 - Forks: 2
chudur-budur/pviz
A Framework for High-dimensional Pareto-optimal Front Visualization and Analytics
Language: Python - Size: 750 MB - Last synced at: 23 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
pranath/high_dim_data_vis
In this project I look at the high dimensional MNIST dataset of handwritten digits and use PCA, t-SNE and Topological data analysis (TDA) to visualise and understand the dataset.
Language: Jupyter Notebook - Size: 6.65 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0
rwoldford/loon Fork of great-northern-diver/loon
A Toolkit for Interactive Statistical Data Visualization
Language: Tcl - Size: 41.1 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 2
ghanem-mhd/N-Balls-Visualization
High dimensions balls visualization
Language: Python - Size: 552 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1
Pradnya1208/Visualizing-data-using-the-embedding-projector-in-Tensorboard
In this project, we are going to analyze and graphically represent high dimensional embeddings using the TensorBoard Embedding Projector.
Size: 12.7 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
smithhenryd/Johnson-Lindenstrauss
Yale MATH 480 final project proving and simulating the Johnson-Lindenstrauss lemma
Language: TeX - Size: 4.14 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
Hackathorn/LS_Workshop
Exploring N-dimensional latent spaces generated by neural variational autoencoders
Language: C# - Size: 632 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
sampiecz/Visual_Analytics_Assignment_1
Attempt to show high dimensional data. I ended up going with a parallelogram as it allows lots of dimensions. The drawback of using a parallelogram is that it can be hard to read and get crowded. In this implementation I would've liked to have changed the color of each line for each car, but I ran out of time. Hover functionality to see what car is what would've been cool too.
Language: HTML - Size: 2.41 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
ghanem-mhd/nball4tree Fork of gnodisnait/nball4tree
NBalls Visualization
Language: Python - Size: 1.78 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0