Alternatives and similar repositories for torch-optim-sparse

Users that are interested in torch-optim-sparse are comparing it to the libraries listed below

• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆51Updated 6 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 5 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 5 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 years ago
• t-vi / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆17Updated last year
• baldassarreFe / zalando-pytorch
  Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
  ☆31Updated 7 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆66Updated 5 years ago
• perimosocordiae / graphs
  Graph-based learning in Python
  ☆17Updated 7 years ago
• n-waves / examples
  ☆13Updated 6 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆40Updated 10 months ago
• RUSH-LAB / LSH_Memory
  One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH
  ☆74Updated 7 years ago
• arogozhnikov / readable_capsnet
  Blazingly fast capsule networks in 75 lines of pytorch+einops
  ☆26Updated 3 years ago
• titu1994 / keras-padam
  Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"
  ☆17Updated 6 years ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆21Updated 2 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆17Updated 4 years ago
• titu1994 / keras_novograd
  Keras implementation of NovoGrad
  ☆20Updated 4 years ago
• mpatacchiola / Y-AE
  Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…
  ☆52Updated 4 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 6 years ago
• raghakot / demystifying-convnets
  Collection of notebooks exploring conv nets in detail.
  ☆10Updated 7 years ago
• DmitryUlyanov / pytorch-in-theano
  Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).
  ☆18Updated 7 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated 4 months ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 5 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• ivanpanshin / hist_cancer
  Histopathologic Cancer Detection model based on Kaggle Challenge https://www.kaggle.com/c/histopathologic-cancer-detection (top 1%)
  ☆11Updated 4 years ago
• JeanKossaifi / ifi-summer-school
  Slides and notebooks for the IfI Summer School 2018 on Machine Learning
  ☆36Updated 7 years ago