Alternatives and similar repositories for mckernel

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

• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated last year
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• Gananath / NERD
  Evolution of Discrete data with Reinforcement Learning
  ☆13Updated 5 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆42Updated 12 years ago
• CarsonScott / CALM
  Conditional Associative Logic Memory
  ☆27Updated 7 years ago
• asanakoy / cliquecnn
  Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
  ☆22Updated 7 years ago
• mtomassoli / tensor-differential-calculus
  Source code for my paper "Matrix Differential Calculus with Tensors (for Machine Learning)"
  ☆12Updated 8 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• cair / fast-tsetlin-machine-in-cuda-with-imdb-demo
  A CUDA implementation of the Tsetlin Machine based on bitwise operators
  ☆26Updated 5 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 11 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago
• zxie / vae
  Variational autoencoder in Theano
  ☆12Updated 7 years ago
• shagunsodhani / torch-template
  Boiler plate code for Torch based ML projects
  ☆10Updated 3 years ago
• elanmart / psmm
  ☆49Updated 7 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• jacobandreas / rnn-syn
  Analogs of Linguistic Structure in Deep Representations
  ☆19Updated 7 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 6 years ago
• GokuMohandas / SELU
  🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
  ☆12Updated 8 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago