A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
- protein
- protein-sequences
- protein-design
- representation-learning
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A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Compilado de recursos sobre Computação Quântica em português
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Research experiments exploring uncommon quant techniques.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
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CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
Sources for the Network Science Cheatsheets
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A demonstration tutorial of using aiida-quantumespresso