Alternatives and similar repositories for simple-gradient-boosting:

Users that are interested in simple-gradient-boosting are comparing it to the libraries listed below

• r-isachenko / 2021-DGM-MIPT-course
  Deep Generative Models course, 2021
  ☆22Updated 3 years ago
• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆51Updated 5 years ago
• agadetsky / pytorch-pl-variance-reduction
  [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
  ☆37Updated 4 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• ebartrum / lightning_gan_zoo
  GAN models implemented with Pytorch Lightning and Hydra configuration
  ☆34Updated 2 years ago
• cedricrommel / augnet
  Code of "Deep invariant networks with differentiable augmentation layers"
  ☆18Updated 2 years ago
• zhuchen03 / gradinit
  Learning to Initialize Neural Networks for Stable and Efficient Training
  ☆139Updated 2 years ago
• r-isachenko / 2020-DGM-MIPT-course
  ☆11Updated 4 years ago
• IlyaTrofimov / MTopDiv
  [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds
  ☆13Updated 3 years ago
• EPFL-VILAB / TaskDiscovery
  ☆15Updated 2 years ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆25Updated 4 years ago
• rakhimovv / GenerativeLatentFlow
  The PyTorch implementation of the GLF
  ☆21Updated 3 years ago
• stat-ml / dpp-dropout-uncertainty
  Effective uncertainty estimation with decorellation and DPP mask for dropout
  ☆9Updated 2 years ago
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆36Updated 4 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 4 years ago
• hexfaker / matches
  Take control back!
  ☆18Updated 2 years ago
• oseledets / nla2018
  NLA 2018 Skoltech course
  ☆55Updated 6 years ago
• tk-rusch / LEM
  Official code for Long Expressive Memory (ICLR 2022, Spotlight)
  ☆69Updated 3 years ago
• esceptico / squeezer
  Lightweight knowledge distillation pipeline
  ☆28Updated 3 years ago
• oseledets / nla2017
  Skoltech 2017 NLA course
  ☆37Updated 6 years ago
• imedslab / greedy_ensembles_training
  Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)
  ☆11Updated 2 years ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 4 years ago
• AndrewAtanov / stochastic-batch-normalization
  Uncertainty Estimation via Stochastic Batch Normalization
  ☆20Updated 7 years ago
• bonlime / sota_imagenet
  Code for training on Imagenet to SOTA results using PyTorch
  ☆13Updated last year
• gisilvs / AEF
  ☆33Updated 2 years ago
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆46Updated 5 years ago
• skolai / fewbit
  Compression schema for gradients of activations in backward pass
  ☆44Updated last year
• arsenyinfo / hookandlook
  A library helping to gather stats and run checks during training deep learning models with Pytorch
  ☆36Updated 3 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago