shivin9 / CACLinks
A Clustering Based Classification Algorithm
☆28Updated 3 years ago
Alternatives and similar repositories for CAC
Users that are interested in CAC are comparing it to the libraries listed below
Sorting:
- A software package for statistically significant shapelet mining☆53Updated 2 years ago
- ☆30Updated 3 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- The code repository associated with the NeurIPS 2020 paper: "Towards Neural Programming Interfaces"☆13Updated 2 years ago
- ☆45Updated 5 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 5 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Updated 5 years ago
- Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity preserving representations☆17Updated 4 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.☆13Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Implementation of Mapper Algorithm☆14Updated 8 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Python library for declarative, constrained, structured-output prediction.☆21Updated last year
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆19Updated 5 years ago
- Python implementation of projection losses.☆26Updated 5 years ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆42Updated 2 years ago
- Parameter-Space Saliency Maps for Explainability☆23Updated 2 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Embed arbitrary graphs in Hyperbolic space☆74Updated 3 years ago
- ☆17Updated 7 years ago
- ☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.☆31Updated 2 years ago
- ☆29Updated last year
- Deep Graph Kernels☆13Updated 9 years ago
- Boiler plate code for Torch based ML projects☆10Updated 3 years ago
- Dynamic programming algorithms for exact linear clustering in networks.☆16Updated last year
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago