Alternatives and similar repositories for torchnca:

Users that are interested in torchnca are comparing it to the libraries listed below

• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆571Updated 2 years ago
• szymonmaszke / torchfunc
  PyTorch functions and utilities to make your life easier
  ☆195Updated 3 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆666Updated last year
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆241Updated 2 years ago
• amarasovic / interpretability-literature
  ☆264Updated 5 years ago
• beringresearch / ivis
  Dimensionality reduction in very large datasets using Siamese Networks
  ☆332Updated 5 months ago
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆311Updated 4 years ago
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆571Updated 3 months ago
• haven-ai / haven-ai
  To Run, Manage and Visualize Large Scale Experiments
  ☆167Updated last year
• msamogh / nonechucks
  Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!
  ☆377Updated 2 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆335Updated 4 years ago
• google-research / robustness_metrics
  ☆468Updated 7 months ago
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆315Updated 2 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆501Updated 6 months ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆97Updated 5 months ago
• maxfrenzel / CompressionVAE
  General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
  ☆158Updated last month
• team-approx-bayes / dl-with-bayes
  Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
  ☆244Updated 5 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆98Updated 4 years ago
• szymonmaszke / torchdatasets
  PyTorch dataset extended with map, cache etc. (tensorflow.data like)
  ☆328Updated 2 years ago
• josephius / star-clustering
  A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.
  ☆215Updated 4 years ago
• pytorchbearer / torchbearer
  torchbearer: A model fitting library for PyTorch
  ☆638Updated last year
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆175Updated 3 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆138Updated 8 months ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆486Updated 4 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆183Updated 5 years ago
• williamFalcon / test-tube
  Python library to easily log experiments and parallelize hyperparameter search for neural networks
  ☆734Updated 2 years ago
• facebookresearch / dagger
  Experiment orchestration
  ☆103Updated 4 years ago
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆457Updated last year
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆304Updated 4 years ago