Alternatives and similar repositories for MultiModal-Learning-Research

Users that are interested in MultiModal-Learning-Research are comparing it to the libraries listed below

• paperswithcode / tutorials
  Basic guidance on how to contribute to Papers with Code
  ☆23Updated 3 years ago
• WhiteRookPL / cloud-computing-for-quality-engineers
  Repository for a workshop titled "Cloud Computing for Quality Engineers".
  ☆9Updated 6 years ago
• Atcold / NYU-DLFL22
  NYU Deep Learning Fall 2022
  ☆61Updated 10 months ago
• NielsRogge / awesome-huggingface
  Repository containing awesome resources regarding Hugging Face tooling.
  ☆47Updated last year
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆111Updated 3 years ago
• CMU-MultiComp-Lab / mmml-tutorial
  ☆29Updated last year
• CargoCoinRepo / Cargo-Coin
  CargoCoin is designed to be a smart contract, crypto currency platform, decentralising global trade and transport. The platform target is…
  ☆11Updated 6 years ago
• infocusp / llm_seminar_series
  Material for the series of seminars on Large Language Models
  ☆34Updated last year
• maragraziani / concept_discovery_svd
  Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantic…
  ☆14Updated last year
• nshutijean / awesome-andrewid
  📃 A curated list of all possible resources (tools, tutorials, platforms, etc) an andrew email can get you
  ☆13Updated 8 months ago
• ZhilingYan / GPT4V-Medical-Report
  ☆43Updated 10 months ago
• CMU-MultiComp-Lab / adv-mmml-course
  ☆36Updated last year
• Nyandwi / deep-computer-vision
  Deep Learning for Computer Vision
  ☆58Updated last year
• dm4ml / motion
  Framework for building and maintaining self-updating prompts for LLMs
  ☆64Updated last year
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆113Updated 3 years ago
• stas00 / ml-ways
  ML/DL Math and Method notes
  ☆62Updated last year
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆89Updated 2 years ago
• rasbt / RAGs
  RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
  ☆122Updated 6 months ago
• sayakpaul / Distributed-Training-in-TensorFlow-2-with-AI-Platform
  Contains code to demonstrate distributed training in TensorFlow 2 with AI Platform and custom Docker contains.
  ☆20Updated 4 years ago
• lamblin / awesome-deep-learning-papers
  ☆16Updated 9 years ago
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆81Updated 2 years ago
• ariG23498 / fine-tune-paligemma
  Notebooks for fine tuning pali gemma
  ☆112Updated 3 months ago
• sayakpaul / keras-xla-benchmarks
  Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
  ☆37Updated last year
• amaarora / melanoma_wandb
  ☆15Updated 3 years ago
• bhavsarpratik / semantic-search
  [WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy mod…
  ☆15Updated 2 years ago
• MontrealAI / AGI-Agent-v0
  A minimal yet unstoppable blueprint for multi-agent AI—anchored by the rare, far-reaching “Multi-Agent AI DAO” (2017 Prior Art)—empowerin…
  ☆27Updated 6 months ago
• AnswerDotAI / minai
  A miniture AI training framework for PyTorch
  ☆41Updated 6 months ago
• sayakpaul / cait-tf
  Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for inference and fine-tuning.
  ☆12Updated 2 years ago
• sayakpaul / deit-tf
  Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.
  ☆41Updated 3 years ago
• jxtngx / lightning-lab
  deep learning with pytorch lightning
  ☆1Updated 9 months ago