Stars
Materials for Spring 2021 Applied Genomics Course
Source code for fitting thermodynamic models (MoCHI), downstream analyses and to reproduce all figures in the following publication: Mapping the energetic and allosteric landscapes of protein bindi…
🧠 A study guide to learn about Transformers
Deep mutational scanning of the receptor-binding domain of SARS-CoV-2 Spike
Analyze a mutant library based on the results from Sanger sequencing some selected clones
Create NNN primers tiling codons of a gene for codon mutagenesis
Neural networks for deep mutational scanning data
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
Table of Multiplexed Assay of Variant Effect (MAVE) studies
Cayman is a Jekyll theme for GitHub Pages
PlaidML is a framework for making deep learning work everywhere.
Listing of papers about machine learning for proteins.
A toolkit to learn how to model and interpret regulatory sequence data using deep learning.
A collection of various deep learning architectures, models, and tips
Artificial Intelligence projects, documentation and code.
Equation Learner, a neural network approach to symbolic regression
Tensorflow implementation of equation learner
Count models with TensorFlow and Keras
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Jupyter notebook for the application of convolutional neural nets to toy DNA sequence data
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)