Alternatives and similar repositories for learning-at-home:

Users that are interested in learning-at-home are comparing it to the libraries listed below

• learning-at-home / lean_transformer
  Memory-efficient transformer. Work in progress.
  ☆19Updated 2 years ago
• lucidrains / mlp-gpt-jax
  A GPT, made only of MLPs, in Jax
  ☆57Updated 3 years ago
• learning-at-home / dalle-hivemind
  Training a model similar to OpenAI DALL-E with volunteers from all over the Internet using hivemind and dalle-pytorch (NeurIPS 2021 demo)
  ☆26Updated last year
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆48Updated 3 years ago
• yandex-research / DeDLOC
  Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)
  ☆116Updated 3 years ago
• learning-at-home / collaborative-latent-diffusion
  Collaborative inference of latent diffusion via hivemind
  ☆12Updated last year
• GuillaumeLeclerc / fastargs
  Python library for argument and configuration management
  ☆53Updated 2 years ago
• minyoungg / overparam
  ☆41Updated last year
• lucidrains / logavgexp-torch
  Implementation of LogAvgExp for Pytorch
  ☆33Updated 2 years ago
• lucidrains / panoptic-transformer
  Another attempt at a long-context / efficient transformer by me
  ☆37Updated 2 years ago
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆82Updated last year
• lucidrains / ponder-transformer
  Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper
  ☆80Updated 3 years ago
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 2 years ago
• Lightning-Universe / paper-AAVAE
  ☆47Updated 2 years ago
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆73Updated 4 years ago
• gregorbachmann / scaling_mlps
  ☆51Updated 9 months ago
• Zasder3 / open_clip_juwels
  An open source implementation of CLIP.
  ☆32Updated 2 years ago
• TomFrederik / grokking
  Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'
  ☆38Updated 3 years ago
• js-d / sim_metric
  ☆35Updated last year
• yedidh / glann
  Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"
  ☆28Updated 5 years ago
• sholtodouglas / scalingExperiments
  ☆58Updated 3 years ago
• lucidrains / product-key-memory
  Standalone Product Key Memory module in Pytorch - for augmenting Transformer models
  ☆78Updated 7 months ago
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆68Updated 2 years ago
• microsoft / fnl_paper
  Factorized Neural Layers
  ☆27Updated last year
• editable-ICLR2020 / editable
  ☆32Updated 5 years ago
• ClashLuke / PerfTorch
  High performance pytorch modules
  ☆18Updated 2 years ago
• iKernels / transformers-lightning
  A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…
  ☆47Updated last year
• lucidrains / kronecker-attention-pytorch
  Implementation of Kronecker Attention in Pytorch
  ☆18Updated 4 years ago
• lucidrains / metaformer-gpt
  Implementation of Metaformer, but in an autoregressive manner
  ☆23Updated 2 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆35Updated 2 years ago