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iparkirk's Projects

alphafold2 icon alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

esm icon esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

hugo-book icon hugo-book

Hugo documentation theme as simple as plain book

knowledge-graph-from-gpt icon knowledge-graph-from-gpt

Using GPT to organize and access information, and generate questions. Long term goal is to make an agent-like research assistant.

llmspracticalguide icon llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

llmsurvey icon llmsurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

manyfold icon manyfold

🧬 ManyFold: An efficient and flexible library for training and validating protein folding models

notebooks icon notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformers-for-nlp-2nd-edition icon transformers-for-nlp-2nd-edition

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

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