Repository Index

A lightweight MicroPython GUI library for display drivers based on framebuf class

Classify music genre from a 10 second sound stream using a Neural Network.

• deep-learning
• music-genre-classification
• paper
• tensorflow

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

• histopathology-images
• microscopy
• sliding-windows
• medical-image-analysis

A tool for semi-automatic cell type classification

• python
• single-cell
• machine-learning
• scrna-seq

Translated斑海豹 (Spotted Seal) — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions.

• bilingual
• calibration
• cpu-inference
• decision-making

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

AVClass malware labeling tool

Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"

• audio
• audio-classification
• audio-processing
• audio-tagging

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

• ai
• cell
• digitalpathology
• microscopy

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

• deep-learning
• agriculture
• pytorch
• dataset

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

• tensorflow
• lstm
• rnn
• stacked-layers

Simple embedding based text classifier inspired by fastText, implemented in tensorflow

• fasttext
• tensorflow
• language-identification
• text-classifier

TranslatedCNN | Keras/PyTorch | CAPTCHA recognition

• captcha
• cnn-keras
• machine-learning
• pytorch-cnn

A new desktop installer and curated and signed package ecosystem for FreeBSD; inspired by Omarchy, FreeBSD and the classic world of video games

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

• shapley
• shapley-value
• owen
• voting-classifier

A simple, flexible, and extensible template for PyTorch. It's beautiful.

• deep-learning
• computer-vision
• cnn
• pytorch

(Micro)Python class to access the MFRC522 RFID reader

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

First-class patterns for Clojure. Made with love, functions, and just the right amount of syntax.

• clojure
• pattern-matching
• functional-programming

A MicroPython class for the ov2640 camera.

code to run sei and obtain sei and sequence class predictions

Factory boy classes for wagtail

• wagtail
• factory-boy

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

• hyperopt
• hyperparameter-optimization
• hyperparameter-tuning
• hyperparameters-optimization

Effects of packers on machine-learning-based malware classifiers that use only static analysis