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transformers

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annotated_deep_learning_paper_implementations

๐Ÿง‘โ€๐Ÿซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

  • Updated Jun 18, 2024
  • Jupyter Notebook
haystack

๐Ÿ” LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  • Updated Jun 19, 2024
  • Python

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

  • Updated Jun 11, 2024
  • Python
PaddleNLP

๐Ÿ‘‘ Easy-to-use and powerful NLP and LLM library with ๐Ÿค— Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including ๐Ÿ—‚Text Classification, ๐Ÿ” Neural Search, โ“ Question Answering, โ„น๏ธ Information Extraction, ๐Ÿ“„ Document Intelligence, ๐Ÿ’Œ Sentiment Analysis etc.

  • Updated Jun 19, 2024
  • Python

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