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SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention
Dreamento (DReam ENgenieering TOolbox): a Python-based software for dream engineering while monitoring/analyzing real-time EEG data.
My attempt to reproduce the workflow used by Paul Coyningham to develop an RNA immunotherapy for his dog Rosie
An implementation of iterative deep research using the OpenAI Agents SDK
Because `model.fit()` isn't an explanation
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
A minimal PyTorch re-implementation of AlphaFold2's model & training
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes
Neural Networks: Zero to Hero
Video+code lecture on building nanoGPT from scratch
Unifying flow matching and diffusion on Riemannian manifolds and discrete spaces, for generative deep learning.
An Awesome List of Open-Source Data Engineering Projects
Scoring function for interprotein interactions in AlphaFold2 and AlphaFold3
Metrics for our protein design competitions.
Local Interaction Score (LIS) for structure prediction analysis
code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
Identifying peptide-receptor interactions using AlphaFold-Multimer
Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling
Making Protein folding accessible to all!
In silico directed evolution of peptide binders with AlphaFold
Making Protein Design accessible to all via Google Colab!