Alternatives and similar repositories for 2022-2023-DGM-AIMasters-course:

Users that are interested in 2022-2023-DGM-AIMasters-course are comparing it to the libraries listed below

• r-isachenko / 2022-2023-DGM-MIPT-course
  Deep Generative Models course, 2022-2023
  ☆61Updated last year
• oseledets / nla2024
  Skoltech NLA 2024 course.
  ☆25Updated 2 months ago
• oseledets / dl2023
  Deep learning @ Skoltech @ 2023
  ☆53Updated last year
• r-isachenko / 2023-DGM-MIPT-course
  Deep Generative Models course, 2023
  ☆55Updated 10 months ago
• milenagazdieva / LightUnbalancedOptimalTransport
  PyTorch implementation of "Light Unbalanced Optimal Transport" (NeurIPS 2024)
  ☆18Updated last month
• HSE-LAMBDA / DeepGenerativeModels
  Deep Generative Models Course
  ☆112Updated this week
• oseledets / nla2022
  Skoltech Numerical Linear Course Edition 2022
  ☆44Updated 2 years ago
• RakitinDen / ODE-SDE-Generative-Models
  Tutorial on generative models based on ordinary (ODE) and stochastic (SDE) differential equations
  ☆43Updated last year
• amkatrutsa / nla2020_ozon
  Numerical linear algebra course in Ozon masters, Fall 2020
  ☆26Updated 4 years ago
• r-isachenko / 2021-DGM-MIPT-course
  Deep Generative Models course, 2021
  ☆21Updated 3 years ago
• oseledets / nla2023
  Skoltech 2023 NLA course
  ☆29Updated last year
• severilov / DL-Audio-AIMasters-Course
  Deep Learning Audio Course – AI Masters
  ☆28Updated 9 months ago
• machinestein / GNOT
  Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)
  ☆17Updated 5 months ago
• oseledets / dl2024
  Deep Learning Course, Skoltech, 2024
  ☆17Updated 8 months ago
• MobileTeleSystems / CoolGraph
  Make GNN easy to start with
  ☆128Updated this week
• On-Point-RND / Efficient-DL-ML-Models-Seminars
  Efficient DL/ML Models Seminars
  ☆27Updated last month
• girafe-ai / dsp
  Digital Signal Processing course
  ☆24Updated 9 months ago
• Pyatachokk / hse_ts_course
  hse_ts_course
  ☆26Updated this week
• AkiRusProd / numpy-nn-model
  Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
  ☆67Updated this week
• vadimtimakin / end2end-HKR-research
  The solution and code for NTO AI Olympics 2022.
  ☆19Updated 2 years ago
• r-isachenko / 2024-DGM-MIPT-YSDA-course
  ☆35Updated 2 months ago
• nntile / nntile
  A neural network training framework within a task-based parallel programming paradigm
  ☆51Updated this week
• r-isachenko / 2020-DGM-MIPT-course
  ☆11Updated 4 years ago
• ngushchin / LightSB
  Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)
  ☆49Updated 6 months ago
• milenagazdieva / ExtremalNeuralOptimalTransport
  PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)
  ☆18Updated last month
• PgLoLo / optiacts
  ☆20Updated 7 months ago
• HSE-LAMBDA / MLDM-2022
  ☆12Updated 2 years ago
• dllllb / ptls-experiments
  Experiments on public datasets for pytorch-lifestream library
  ☆19Updated 3 months ago
• MerkulovDaniil / mipt_optimization
  Optimization methods course at MIPT
  ☆11Updated 6 years ago