kevinzakka / torchnca
A PyTorch implementation of Neighbourhood Components Analysis.
☆400Updated 4 years ago
Alternatives and similar repositories for torchnca:
Users that are interested in torchnca are comparing it to the libraries listed below
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆571Updated 2 years ago
- A simplified framework and utilities for PyTorch☆572Updated 4 months ago
- PyTorch functions and utilities to make your life easier☆195Updated 4 years ago
- Bayesian Deep Learning Benchmarks☆670Updated 2 years ago
- ☆468Updated 9 months ago
- Drift Detection for your PyTorch Models☆315Updated 2 years ago
- ☆264Updated 5 years ago
- Unit Testing for pytorch, based on mltest☆310Updated 4 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆217Updated 4 years ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆486Updated 4 years ago
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆89Updated 2 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆329Updated 2 years ago
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆504Updated 8 months ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆377Updated 2 years ago
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆337Updated 4 years ago
- fastai V2 implementation of Timeseries classification papers.☆241Updated 2 years ago
- Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)☆265Updated 4 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆175Updated 3 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated 10 months ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 7 months ago
- torchbearer: A model fitting library for PyTorch☆640Updated last year
- To Run, Manage and Visualize Large Scale Experiments☆168Updated last year
- Dimensionality reduction in very large datasets using Siamese Networks☆332Updated 6 months ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 4 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆887Updated 11 months ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆244Updated 5 years ago
- PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…☆226Updated 5 years ago
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- Gradient based Hyperparameter Tuning library in PyTorch☆289Updated 4 years ago