Alternatives and similar repositories for RepresentationLearning_SS2023

Users that are interested in RepresentationLearning_SS2023 are comparing it to the libraries listed below

• Atcold / NYU-DLFL22
  NYU Deep Learning Fall 2022
  ☆60Updated 8 months ago
• jxtngx / lightning-lab
  deep learning with pytorch lightning
  ☆1Updated 7 months ago
• p-giakoumoglou / pyssl
  Self-Supervised Learning in PyTorch
  ☆138Updated last year
• sushant097 / Deep-Learning-Papers-Reading
  30 Days GANs Paper Reading
  ☆44Updated 2 years ago
• warner-benjamin / commented-transformers
  Highly commented implementations of Transformers in PyTorch
  ☆136Updated last year
• Lightning-AI / engineering-class
  Lightning Bits: Engineering for Researchers repo
  ☆132Updated 2 years ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 3 years ago
• jxtngx / vision-lab
  vision transformers with pytorch and pytorch lightning
  ☆1Updated 7 months ago
• AakashKumarNain / diffusion_models
  All about the fundamentals and working of Diffusion Models
  ☆155Updated 2 years ago
• ma7dev / deep-learning-project-template
  A project template where PyTorch Lightning, Pydantic, and more! being used for training MNIST as an example.
  ☆26Updated 2 years ago
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆52Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-2022
  Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
  ☆81Updated last year
• slds-lmu / seminar_multimodal_dl
  https://slds-lmu.github.io/seminar_multimodal_dl/
  ☆168Updated 2 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆87Updated 2 years ago
• Hadar933 / Deep-Reinforcement-Learning
  DRL university course lecture notes & exercises
  ☆86Updated 2 years ago
• rasbt / RAGs
  RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
  ☆105Updated 4 months ago
• probml / ssm-book
  Interactive textbook on state-space models
  ☆190Updated last year
• anas-rz / k3im
  (K3IM) Keras 3 Image Models
  ☆20Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• srush / pytorch-lecture
  Introductory lecture on Pytorch
  ☆17Updated 3 years ago
• rasbt / stat451-machine-learning-fs21
  ☆150Updated 3 years ago
• stas00 / ml-ways
  ML/DL Math and Method notes
  ☆61Updated last year
• tintn / vision-transformer-from-scratch
  A Simplified PyTorch Implementation of Vision Transformer (ViT)
  ☆187Updated 11 months ago
• rasbt / faster-pytorch-blog
  Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
  ☆128Updated 2 years ago
• SamsungLabs / BayesDLL
  ☆146Updated last year
• deep-learning-indaba / indaba-pracs-2022
  Notebooks for the Practicals at the Deep Learning Indaba 2022.
  ☆175Updated last year
• eduardoleao052 / Autograd-from-scratch
  Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.
  ☆113Updated last year
• EduardoGarrido90 / UPM_summer_school_GP_BO_course
  Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.
  ☆27Updated 11 months ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆159Updated 11 months ago