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
• zhuchen03 / gradinit
  Learning to Initialize Neural Networks for Stable and Efficient Training
  ☆139Updated 3 years ago
• oseledets / nla2018
  NLA 2018 Skoltech course
  ☆55Updated 6 years ago
• skolai / fewbit
  Compression schema for gradients of activations in backward pass
  ☆44Updated 2 years ago
• r-isachenko / 2022-2023-DGM-MIPT-course
  Deep Generative Models course, 2022-2023
  ☆67Updated 2 years ago
• HSE-LAMBDA / DeepGenerativeModels
  Deep Generative Models Course
  ☆127Updated this week
• Erlemar / pytorch_tempest
  My repo for training neural nets using pytorch-lightning and hydra
  ☆221Updated 8 months ago
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆46Updated 5 years ago
• r-isachenko / 2022-2023-DGM-AIMasters-course
  Deep Generative Models course, AIMasters, 2022
  ☆46Updated 2 years ago
• pilot7747 / sldl
  Single-line inference of SOTA deep learning models
  ☆29Updated 2 years ago
• oseledets / nla2024
  Skoltech NLA 2024 course.
  ☆35Updated 11 months ago
• nikitadurasov / ittt
  Official code for "IT³: Idempotent Test-Time Training" (ICML 2025)
  ☆14Updated 4 months ago
• ai-forever / ru-dolph
  RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP
  ☆253Updated 2 years ago
• arsenyinfo / hookandlook
  A library helping to gather stats and run checks during training deep learning models with Pytorch
  ☆35Updated 3 years ago
• bes-dev / pytorch_clip_guided_loss
  A simple library that implements CLIP guided loss in PyTorch.
  ☆77Updated 3 years ago
• cene555 / ru-clip-tiny
  RuCLIP tiny (Russian Contrastive Language–Image Pretraining) is a neural network trained to work with different pairs (images, texts).
  ☆35Updated 3 years ago
• deeppavlov / tdl
  Course "Theories of Deep Learning"
  ☆195Updated 6 years ago
• esceptico / perceiver-io
  Unofficial implementation of Perceiver IO
  ☆128Updated 3 years ago
• bonlime / sota_imagenet
  Code for training on Imagenet to SOTA results using PyTorch
  ☆13Updated 2 years ago
• nshepperd / ode-gan-pytorch
  ☆15Updated 4 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 5 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 3 years ago
• AilsaF / RS-GAN
  ☆32Updated 4 years ago
• r-isachenko / 2023-DGM-MIPT-course
  Deep Generative Models course, 2023
  ☆60Updated last year
• nadiinchi / dl_labs
  ☆26Updated 4 years ago
• bes-dev / vqvae_dwt_distiller.pytorch
  ☆26Updated 4 years ago
• oseledets / nla2020
  Github repository for NLA2020 course
  ☆86Updated 4 years ago
• catalyst-team / hydra-slayer
  ☆16Updated last year
• MerkulovDaniil / optim
  💎A site, that contains systematic optimization methods and theory review
  ☆125Updated 2 weeks ago
• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆52Updated 6 years ago