⬛ Python Individual Conditional Expectation Plot Toolbox
- machine-learning
- interpretability
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⬛ Python Individual Conditional Expectation Plot Toolbox
Optimising chemical reactions using machine learning
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
The repository host gives no description.
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.
Integrated pipeline for multiplexed image analysis
This repository is to create tflite models for the available ocr models
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
tutorials made for biologists to learn deep learning
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
Compilado de recursos sobre Computação Quântica em português
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
Docker container for Kafka - Spark Streaming - Cassandra
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