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Starred repositories
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Reading list for research topics in multimodal machine learning
DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal and tumor-only sequencing data.
On the Theoretical Limitations of Embedding-Based Retrieval
Introduction to Machine Learning Systems
It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
learning biology syllabus, geared for machine learning folks
Code for the ProteinMPNN paper
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Generation of protein sequences and evolutionary alignments via discrete diffusion models
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
A list of deep learning implementations in biology
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
Chai-1, SOTA model for biomolecular structure prediction
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Tutorial on large language models for genomics
Sample, estimate, aggregate: A recipe for causal discovery foundation models