shivin9 / CACLinks
A Clustering Based Classification Algorithm
☆28Updated 4 years ago
Alternatives and similar repositories for CAC
Users that are interested in CAC are comparing it to the libraries listed below
Sorting:
- A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")☆40Updated 5 years ago
- ☆45Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆192Updated 2 years ago
- Paper and code for Gradient Descent: The Ultimate Optimizer☆24Updated 2 years ago
- A software package for statistically significant shapelet mining☆51Updated 2 years ago
- Embed arbitrary graphs in Hyperbolic space☆76Updated 3 years ago
- Implementation of Mapper algorithm for Topological Data Analysis☆45Updated 5 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Notebooks in support of the UMAP paper☆44Updated 4 years ago
- PyMC3-like Interface for Pyro☆38Updated 5 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity preserving representations☆17Updated 5 years ago
- List of awesome JAX resources☆13Updated 2 years ago
- A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch☆49Updated 5 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- ☆29Updated last year
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Proximal algorithms and operators in python☆26Updated 6 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 10 years ago
- Implementation of Symmetric SNE and t-SNE in numpy and python☆75Updated 4 years ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- Parameter-Space Saliency Maps for Explainability☆23Updated 2 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 3 years ago
- Ancestral Gumbel-Top-k Sampling☆25Updated 5 years ago
- Dynamic weighted sampling with replacement☆14Updated 9 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Variational Walkback, NIPS'17☆28Updated 8 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- LibCP -- A Library for Conformal Prediction☆13Updated 10 years ago