Repository Index

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

• tensorflow
• tensorflow-tutorials
• mnist-classification
• mnist

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

A Tool for Automatic Analysis of Malware Behavior

• machine-learning
• clustering
• classification
• malware-analysis

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

👀 iOS11 demo application for age and gender classification of facial images.

• ios
• swift
• swift4
• vision

TranslatedCNN | Keras/PyTorch | CAPTCHA recognition

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

:wink: :cyclone: :strawberry: TextRank implementation in Golang with extendable features (summarization, phrase extraction) and multithreading (goroutine).

• go
• golang
• textrank
• summarization

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

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

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

Crop/Weed Field Image Dataset

• dataset
• crop
• paper
• agriculture

A Lean formalization of the Classification of Finite Simple Groups

Rule based Answer Type classification system in Node.js

TranslatedOpenMinutes · Voice recorder workbench: import · transcription · AI categorization · search and review of MemoTalk S1 recordings (open-source implementation of Floatboat Workbench)

• ai-classification
• floatboat
• react
• speech-to-text

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

🌸 iOS11 demo application for flower classification.

• ios
• swift
• swift4
• vision

Go Scoring API for PMML

• golang
• pmml
• random-forest
• classification

Examples of Tensorflow Lite on Android

• tensorflow
• tensorflow-lite
• kotlin-android
• android

Toolbox for the analysis of smFISH images.

• pattern-classification
• rna-localization
• segmentation
• smfish

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

• text-classification
• sentiment-analysis
• hierarchical-attention-networks
• document-classification

This is the Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification and other large linear classifications)

Image classification of Fungus using ResNet

• resnet
• fungus
• classification

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

• svm
• regression
• classification
• machine-learning

Web application that manage food recipes with simplicity

• allinone
• django
• docker
• docker-compose