Alternatives and similar repositories for demystifying-convnets

Users that are interested in demystifying-convnets are comparing it to the libraries listed below

• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 10 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 6 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 4 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• erlendd / Neighborhood-Components-Analysis-in-Python
  A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.
  ☆15Updated 9 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆27Updated 7 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 6 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 5 years ago
• alxndrkalinin / angiodysplasia-segmentation
  Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization
  ☆16Updated 6 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆65Updated 6 years ago
• IndexedConv / IndexedConv
  Code for the indexed convolution
  ☆16Updated last year
• titicaca / GP-Clustering
  Clustering with Gaussian Process Models
  ☆19Updated 6 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 8 years ago
• imd-iclr / imd
  The Shape of Data: Intrinsic Distance for Comparing Data Distributions
  ☆12Updated 6 years ago
• tathey1 / autogmm
  ☆10Updated 4 years ago
• gmum / mlls2015
  Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015
  ☆16Updated 9 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 7 years ago
• oval-group / ali-g
  Implementation of the ALI-G algorithm (PyTorch, Tensorflow)
  ☆22Updated 4 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆98Updated 4 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• lixilinx / psgd_tf
  Tensorflow implementation of preconditioned stochastic gradient descent
  ☆34Updated 2 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 5 years ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 8 years ago
• arthurmensch / g-softmax
  Pytorch package for geometric softmax
  ☆12Updated 6 years ago
• jiwoongim / ft-SNE
  f-divergence based t-SNE
  ☆16Updated 3 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 6 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆28Updated 11 years ago
• asanakoy / cliquecnn
  Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
  ☆22Updated 8 years ago
• bingchenlll / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• rileyedmunds / complexcnn
  research on convolutional neural networks in fourier space
  ☆15Updated 8 years ago