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
TensorFlow Lite models for MIRNet for low-light image enhancement.
General Modeling Network Specification
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
A TensorFlow implementation of the Mnemonic Descent Method.
How to create a Cartoonizer Android app with TensorFlow Lite models.
tutorials made for biologists to learn deep learning
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
Detecting cancers on mobile phones
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
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.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
Generate random crop fields for Ignition Gazebo
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
How to create Selfie2Anime from tflite model to Android.
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.
SplineDist: Automated Cell Segmentation with Spline Curves
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Various Jupyter notebooks about Common Crawl data
Exercises for the lecture "Selected Topics in Audio Signal Processing"
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Jupyterlab extension to show notebook cell completion notifications
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.