Alternatives and similar repositories for mnist_by_zip

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

• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆192Updated 2 years ago
• dojoteef / glas
  Generative Latent Attentive Sampler
  ☆26Updated 8 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆35Updated 6 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆102Updated 6 years ago
• jotaf98 / overboard
  Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/JAX/etc, without a browser)
  ☆95Updated 3 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆66Updated 5 years ago
• kpoeppel / pytorch_probgraph
  A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch
  ☆49Updated 5 years ago
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆40Updated 5 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• AI-DI / Brancher
  A user-centered Python package for differentiable probabilistic inference
  ☆203Updated 5 years ago
• inferno-pytorch / speedrun
  Research code need not be ugly.
  ☆77Updated 2 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• ivaleraM / DataTypes
  Automatic Discovery of the Statistical Types of Variables in a Dataset
  ☆23Updated 7 years ago
• lixilinx / psgd_tf
  Tensorflow implementation of preconditioned stochastic gradient descent
  ☆34Updated last year
• ahug / amld-pytorch-workshop
  Introduction to PyTorch Workshop at the AMLD 2019
  ☆31Updated 6 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• chagaz / sfan
  Selecting features as (network) nodes
  ☆11Updated 7 years ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆71Updated 7 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 3 years ago
• pierreablin / adversarial_example
  A simple adversarial attack on a linear model
  ☆21Updated 6 years ago
• kousun12 / tf_hyperbolic
  Hyperbolic (Poincare, Lorentz) Embeddings for TensorFlow
  ☆55Updated 6 years ago
• fabianp / overview_optalgs
  ☆30Updated 5 years ago
• leopd / geometric-intuition
  Understanding ML and deep learning through geometry
  ☆157Updated 3 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• facebookresearch / enorm
  Equi-normalization of Neural Networks
  ☆115Updated 6 years ago
• lilianweng / generalization-experiment
  TBA
  ☆77Updated 6 years ago
• arogozhnikov / readable_capsnet
  Blazingly fast capsule networks in 75 lines of pytorch+einops
  ☆26Updated 4 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 6 years ago