mir-am / LightTwinSVM
LightTwinSVM Program - Simple and Fast Implementation of Standard TwinSVM Classifier
☆12Updated 5 years ago
Alternatives and similar repositories for LightTwinSVM:
Users that are interested in LightTwinSVM are comparing it to the libraries listed below
- ☆16Updated 10 years ago
- ☆15Updated 7 years ago
- Generalized Canonical Correlation Analysis☆50Updated 7 years ago
- The Union of Intersections Framework in Python☆14Updated this week
- Conceptual & empirical comparisons between decision forests & deep networks☆17Updated last week
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…☆20Updated 6 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- ☆11Updated 3 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆33Updated 6 years ago
- ☆19Updated 4 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- A conda-smithy repository for python-spams.☆23Updated 5 months ago
- ☆12Updated 3 years ago
- ☆17Updated 6 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- WICA: nonlinear weighted ICA☆12Updated last year
- Deep learning of an embedding mapping using t-SNE as a loss function on top of a 3-hidden-layer neural network. Use pytorch !☆20Updated 7 years ago
- Multivariate Dictionary Learning Algorithm☆23Updated last year
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆26Updated 5 years ago
- Deep Multiple Kernel Learning by Span Bound☆10Updated 10 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆13Updated 2 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago