Alternatives and similar repositories for 2020-DGM-MIPT-course

Users that are interested in 2020-DGM-MIPT-course are comparing it to the libraries listed below

• r-isachenko / 2021-DGM-MIPT-course
  Deep Generative Models course, 2021
  ☆22Updated 3 years ago
• senya-ashukha / simple-gradient-boosting
  Very simple and short implementation of gradient boosting in 18 lines of code
  ☆9Updated 4 years ago
• oseledets / nla2018
  NLA 2018 Skoltech course
  ☆55Updated 6 years ago
• pilot7747 / sldl
  Single-line inference of SOTA deep learning models
  ☆29Updated 2 years ago
• zhuchen03 / gradinit
  Learning to Initialize Neural Networks for Stable and Efficient Training
  ☆139Updated 3 years ago
• skolai / fewbit
  Compression schema for gradients of activations in backward pass
  ☆44Updated last year
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆46Updated 5 years ago
• catalyst-team / hydra-slayer
  ☆16Updated last year
• tinkoff-ai / palbert
  Code for the paper "PALBERT: Teaching ALBERT to Ponder", NeurIPS 2022 Spotlight
  ☆37Updated 2 years ago
• corl-team / lime
  Official implementation of the paper "You Do Not Fully Utilize Transformer's Representation Capacity"
  ☆28Updated last month
• HSE-LAMBDA / DeepGenerativeModels
  Deep Generative Models Course
  ☆122Updated last month
• cene555 / ru-clip-tiny
  RuCLIP tiny (Russian Contrastive Language–Image Pretraining) is a neural network trained to work with different pairs (images, texts).
  ☆33Updated 2 years ago
• nadiinchi / dl_labs
  ☆26Updated 4 years ago
• bayesgroup / HSE_ML_research_seminar
  ☆21Updated 3 years ago
• arsenyinfo / hookandlook
  A library helping to gather stats and run checks during training deep learning models with Pytorch
  ☆35Updated 3 years ago
• MerkulovDaniil / mipt_optimization
  Optimization methods course at MIPT
  ☆11Updated 7 years ago
• DBusAI / PyTorchChallenge
  10 tasks with 3 exercises each based on PyTorch
  ☆106Updated 4 years ago
• mknbv / adashift
  AdaShift optimizer implementation in PyTorch
  ☆17Updated 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
• myxik / yamajiflow
  ☆19Updated 7 months ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• deeppavlov / tdl
  Course "Theories of Deep Learning"
  ☆196Updated 5 years ago
• avalur / ml_trainings_spbu
  For notebooks, slides and other materials.
  ☆12Updated 4 years ago
• agadetsky / pytorch-pl-variance-reduction
  [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
  ☆38Updated 4 years ago
• hexfaker / matches
  Take control back!
  ☆18Updated 3 years ago
• tinkoff-ai / open-tlab
  Примеры пропозалов для подачи заявки в Open.TLab
  ☆28Updated 2 years ago
• IlyaTrofimov / MTopDiv
  [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds
  ☆13Updated 3 years ago
• dm-medvedev / dataset-distillation
  Dataset Distillation
  ☆8Updated 4 years ago
• M0RJIQUE / tencdm
  ☆14Updated 6 months ago
• On-Point-RND / EBES
  EBES: EASY BENCHMARKING FOR EVENT SEQUENCES
  ☆18Updated 2 months ago