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belumume
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BioNeMo Framework: For building and adapting AI models in drug discovery at scale
source code of the custom page for the RNA targeting website - Cas13d guide design
Software package to design bridge RNAs as described by Durrant & Perry et al.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Biological foundation modeling from molecular to genome scale
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
An ongoing list of pandas quirks
Train transformer language models with reinforcement learning.
Dramatron uses large language models to generate coherent scripts and screenplays.
Slides, notes, and materials for the workshop
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
https://huyenchip.com/ml-interviews-book/
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Source for https://fullstackdeeplearning.com
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilizatio…
This repository contains implementations of computational primitives for convolutional multi-hybrid models and layers: Hyena-[SE, MR, LI], StripedHyena 2, Evo 2.
Pretraining infrastructure for research and application of convolutional multi-hybrid models (StripedHyena 2).
Genome modeling and design across all domains of life
Google Research
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
An open-source Python framework for hybrid quantum-classical machine learning.
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.