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PyTorch original implementation of Cross-lingual Language Model Pretraining.
🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
translation-dependent mRNA degradation models
RNA Secondary Structure DataBase
Full-length Ribosome Density Prediction by a Multi-Input and Multi-Output Model
Neural network regression model of translation elongation rate, with DP algorithm to optimize fast coding sequences under model
A Nextflow DSL2 pipeline to perform ribo-seq data analysis and comprehensive quality control.
Using SONAR to understand the sequence motifs effect on T cell mRNA and protein levels
Saluki, a method to predict mRNA half-lives from sequence
A Snakemake pipeline to automate RiboFlow runs at scale.
End-to-end RNA Design using deep reinforcement learning
Ultra-fast and memory-efficient (meta-)genome assembler
NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.
Scripts to download genomes from the NCBI FTP servers
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Reinforcement Learning for Neural Machine Translation
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
"Deep Generative Modeling": Introductory Examples
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.