Alternatives and similar repositories for COMSM0045-Applied-Deep-Learning.github.io

Users that are interested in COMSM0045-Applied-Deep-Learning.github.io are comparing it to the libraries listed below

• conan7882 / adversarial-autoencoders
  Tensorflow implementation of Adversarial Autoencoders
  ☆248Updated 7 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆470Updated 6 years ago
• depthfirstlearning / depthfirstlearning.com
  ☆197Updated last year
• COMSM0045-Applied-Deep-Learning / tensorflow-labsheets
  Lab worksheets for the Applied Deep Learning Course.
  ☆16Updated 7 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆671Updated 2 years ago
• ExpectationMax / simple_gpu_scheduler
  Simple scheduler for running jobs on GPUs
  ☆183Updated 4 years ago
• brain-research / realistic-ssl-evaluation
  Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
  ☆460Updated 6 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆894Updated last year
• carlhenrikek / COMS30007
  ☆85Updated 6 years ago
• bjlkeng / sandbox
  Play time!
  ☆198Updated last year
• trevorcampbell / bayesian-coresets
  Automated Scalable Bayesian Inference
  ☆131Updated 4 years ago
• djsutherland / opt-mmd
  Learning kernels to maximize the power of MMD tests
  ☆211Updated 8 years ago
• jacobgil / pytorch-explain-black-box
  PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
  ☆338Updated 4 years ago
• lilianweng / generalization-experiment
  TBA
  ☆77Updated 6 years ago
• google / svcca
  ☆643Updated 4 years ago
• hottbox / hottbox
  HOTTBOX: Higher Order Tensors ToolBOX.
  ☆171Updated 6 years ago
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆125Updated 4 years ago
• logangraham / arXausality
  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
  ☆415Updated 5 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆362Updated 6 years ago
• artemyk / ibsgd
  ☆155Updated 5 years ago
• google-research / robustness_metrics
  ☆472Updated this week
• Naresh1318 / Adversarial_Autoencoder
  A wizard's guide to Adversarial Autoencoders
  ☆433Updated 4 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆242Updated 2 months ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆710Updated 5 years ago
• Riashat / Active-Learning-Bayesian-Convolutional-Neural-Networks
  Active Learning on Image Data using Bayesian ConvNets
  ☆140Updated 9 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• amiratag / DataShapley
  Data Shapley: Equitable Valuation of Data for Machine Learning
  ☆288Updated last year
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆430Updated 3 years ago
• paruby / ml-basics
  python notebooks for revising machine learning basics
  ☆28Updated 7 years ago
• acmi-lab / cmu-10721-philosophy-machine-intelligence
  Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".
  ☆263Updated 2 years ago