Alternatives and similar repositories for seminar_multimodal_dl:

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

• rasbt / faster-pytorch-blog
  Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
  ☆126Updated last year
• rasbt / cvpr2023
  ☆131Updated last year
• NielsRogge / Vision-Transformer-papers
  This repository contains an overview of important follow-up works based on the original Vision Transformer (ViT) by Google.
  ☆167Updated 3 years ago
• jacobmarks / awesome-neurips-2023
  Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
  ☆119Updated last year
• llm-efficiency-challenge / neurips_llm_efficiency_challenge
  NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
  ☆255Updated last year
• facebookresearch / dropout
  Code release for "Dropout Reduces Underfitting"
  ☆312Updated last year
• shervinmin / awesome-deep-learning-survey-papers
  In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
  ☆117Updated last year
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆74Updated last year
• stanford-cs324 / winter2022
  Website
  ☆54Updated 2 years ago
• stas00 / ml-ways
  ML/DL Math and Method notes
  ☆59Updated last year
• p-giakoumoglou / pyssl
  Self-Supervised Learning in PyTorch
  ☆135Updated last year
• albanie / foundation-models
  Video descriptions of research papers relating to foundation models and scaling
  ☆30Updated 2 years ago
• YilunZhou / ExSum
  Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"
  ☆64Updated 2 years ago
• sayakpaul / probing-vits
  Probing the representations of Vision Transformers.
  ☆321Updated 2 years ago
• srush / do-we-need-attention
  ☆165Updated last year
• calpt / awesome-adapter-resources
  Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning
  ☆187Updated 10 months ago
• sangmichaelxie / cs324_p2
  Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)
  ☆102Updated 2 years ago
• lucidrains / mixture-of-attention
  Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts
  ☆116Updated 5 months ago
• wolfecameron / lora_instruction_tune
  ☆40Updated 10 months ago
• jxtngx / lightning-lab
  deep learning with pytorch lightning
  Updated 4 months ago
• stanford-crfm / ecosystem-graphs
  ☆263Updated 2 months ago
• dpressel / mint
  MinT: Minimal Transformer Library and Tutorials
  ☆253Updated 2 years ago
• warner-benjamin / commented-transformers
  Highly commented implementations of Transformers in PyTorch
  ☆132Updated last year
• huggingface / chug
  Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
  ☆156Updated 11 months ago
• fangyuan-ksgk / Mini-LLaVA
  A minimal implementation of LLaVA-style VLM with interleaved image & text & video processing ability.
  ☆90Updated 3 months ago
• Lightning-AI / tutorials
  Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
  ☆308Updated 3 weeks ago
• koayon / awesome-adaptive-computation
  A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).
  ☆139Updated 2 months ago
• rasbt / pytorch-memory-optim
  This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…
  ☆87Updated last year
• lucidrains / CoLT5-attention
  Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch
  ☆226Updated 6 months ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 3 years ago