Predicting Cell Health with Morphological Profiles
- carpenter-lab
- morphological-profiling
- crispr
- cell-painting
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Predicting Cell Health with Morphological Profiles
reinfore learning tool box, contains trpo, a3c algorithm for continous action space
Elixir library to inflect Russian first, last, and middle names.
Tool for segmentation in bioimaging
The repository host gives no description.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
Tagify produces a set of tags from a given source. Source can be either an HTML page, a Markdown document or a plain text. Supports English, Russian, Chinese, Hindi, Spanish, Arabic, Japanese, German, Hebrew, French and Korean languages.
Estimate the phonetic distance between Chinese words and get similar sounding candidate words.
Parse numbers in natural language from strings (ex forty two).
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
A redis-backed Bayesian classifier
Ruby gem to calculate statistics from text to determine readability, complexity and grade level of a particular corpus.
The repository host gives no description.
N-Gram generator in Ruby - http://en.wikipedia.org/wiki/N-gram
Simple K Nearest Neighbour Algorithm
Adaptive Unpacking Android Packed Applications
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
Artificial Neural Networks (ANN's) in Ruby (unmaintained, unfortunately)
This is the github repository for converting craft pretrained model to tflite version
Spatial Transformer Nets in TensorFlow/ TensorLayer
A browser fuzzer augmented by API mod-ref relations
Cross framework, cross platform computer vision for Haxe
Simple sentiment analysis using the AFINN-111 word list