Alternatives and similar repositories for Teaching

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

• Learning-and-Intelligent-Systems / Analytical-Learning-Theory
  97.39% on CIFAR10 with PyTorch
  ☆15Updated 6 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• bingchenlll / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• AdamCobb / LCBNN
  ☆25Updated 3 years ago
• happenwah / FVI_CV
  Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020
  ☆68Updated 5 years ago
• ariG23498 / G-SimCLR
  This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…
  ☆79Updated 4 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• wang3702 / EnAET
  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
  ☆68Updated 3 years ago
• MECLabTUDA / Super_Selfish
  Unified Pytorch framework for image-based self-supervised learning
  ☆92Updated 5 years ago
• fregu856 / evaluating_bdl
  Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
  ☆133Updated 5 years ago
• kekeblom / DeepCGP
  Deep convolutional gaussian processes.
  ☆82Updated 6 years ago
• nikitadurasov / masksembles
  Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
  ☆103Updated 3 months ago
• Randl / kmeans_selfsuper
  ☆55Updated 4 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆58Updated 6 years ago
• srebuffi / semisup_scarse
  PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf
  ☆13Updated 6 years ago
• dizam92 / pyTorchReg
  Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
  ☆38Updated 3 years ago
• bchidest / RiCNN
  ☆34Updated 7 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 5 years ago
• greydanus / excitationbp
  Visualizing how deep networks make decisions
  ☆66Updated 6 years ago
• fregu856 / ebms_regression
  Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …
  ☆106Updated 5 years ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆83Updated 4 years ago
• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 4 years ago
• gustavla / self-supervision
  Training and evaluating self-supervised deep neural networks
  ☆27Updated 8 years ago
• arthurmensch / g-softmax
  Pytorch package for geometric softmax
  ☆12Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• overshiki / kmeans_pytorch
  pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
  ☆94Updated 7 years ago
• DIAGNijmegen / neural-odes-segmentation
  Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
  ☆113Updated 5 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 5 years ago
• shivram1987 / diffGrad
  diffGrad: An Optimization Method for Convolutional Neural Networks
  ☆55Updated 3 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆175Updated 4 years ago