Alternatives and similar repositories for alpaca

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

• bayesgroup / bayesgroup.github.io
  ☆82Updated 2 years ago
• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆52Updated 6 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆96Updated 5 years ago
• mlss-skoltech / tutorials
  repository with the tutorials for MLSS Skoltech
  ☆66Updated 6 years ago
• deeppavlov / tdl
  Course "Theories of Deep Learning"
  ☆195Updated 6 years ago
• bayesgroup / HSE_ML_research_seminar
  ☆21Updated 3 years ago
• Yura52 / delu
  Deep Learning Utilities for PyTorch users (old name: Zero)
  ☆37Updated 8 months ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 4 years ago
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆47Updated 6 years ago
• maremun / quffka
  Quadrature-based features for kernel approximation
  ☆16Updated 7 years ago
• agadetsky / pytorch-pl-variance-reduction
  [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
  ☆39Updated 4 years ago
• mlss-skoltech / lectures
  repository with the lectures for MLSS Skoltech
  ☆139Updated 6 years ago
• Scitator / RL-intro
  ☆23Updated 5 years ago
• zhuchen03 / gradinit
  Learning to Initialize Neural Networks for Stable and Efficient Training
  ☆139Updated 3 years ago
• WSNLP / al_toolbox
  Active learning
  ☆78Updated 2 years ago
• ruqizhang / csgmcmc
  Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
  ☆93Updated 5 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆165Updated 3 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 5 years ago
• g-benton / loss-surface-simplexes
  ☆100Updated 4 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• Shifts-Project / shifts
  This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.
  ☆236Updated 2 years ago
• Lavton / SkoltechLaTeXtemplates
  this repository is created to accumulate all LaTeX templates needed at Skoltech
  ☆20Updated 7 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 5 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• Jianbo-Lab / L2X
  ☆125Updated 4 years ago
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆143Updated 5 years ago
• uclnlp / torch-imle
  Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
  ☆259Updated 2 years ago
• yassersouri / pytorch-deep-sets
  PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
  ☆73Updated 7 years ago
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆192Updated 3 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆184Updated 4 years ago