Deep neural network to extract intelligent information from invoice documents.
- invoice
- invoice-management
- invoices
- invoice-insight
Repository Index
47,133 repositories indexed
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A collection of research papers on decision, classification and regression trees with implementations.
- decision-tree
- decision-tree-classifier
- gradient-boosting
- gradient-boosting-machine
An open source library and framework for deep learning on satellite and aerial imagery.
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
- agents
- calibration
- classification
- decision-making
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
- pointcloud
- convolutional-neural-networks
- deep-neural-networks
- machine-learning
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
- backbone
- computer-vision
- image-classification
- backbone-networks
NFStream: a Flexible Network Data Analysis Framework.
- data-science
- data-analysis
- data-mining
- network-analysis
A curated list of gradient boosting research papers with implementations.
- gradient-boosting
- gradient-boosting-classifier
- gradient-boosting-machine
- gradient-boosted-trees
A scikit-learn based module for multi-label et. al. classification
- classification
- scikit
- scikit-learn
- multi-label
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
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
斑海豹 — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions. 小海豹，大决断。
- bilingual
- calibration
- cpu-inference
- decision-making
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
CNN | Keras/PyTorch | CAPTCHA recognition（卷积神经网络、Keras/PyTorch框架、验证码识别）
- captcha
- cnn-keras
- machine-learning
- pytorch-cnn
A simple, flexible, and extensible template for PyTorch. It's beautiful.
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
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
Toolbox for the analysis of smFISH images.
- pattern-classification
- rna-localization
- segmentation
- smfish