wallabag is a self hostable application for saving web pages: Save and classify articles. Read them later. Freely.

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

Lime: Explaining the predictions of any machine learning classifier

Natural language detection

A self-hosted BitTorrent indexer, DHT crawler, content classifier and torrent search engine with web UI, GraphQL API and Servarr stack integration.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Collection of NSFW images URLs for the purposes of training an NSFW Image Classifier

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Deep Learning Porn Video Classifier/Editor with Caffe

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

CollectionView做的两级菜单，可以折叠第二级菜单

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Mobile Visual Classification (MVISC) is a project to identify and classify animals.

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

⭐ ⭐ Use ML to classify flows and packets as benign or malicious. ⭐ ⭐

Classifies GPUs based on their 3D rendering benchmark score allowing the developer to provide sensible default settings for graphically intensive applications.

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Let agents classify your bank transactions.

Organize files in your directory instantly, by classifying them into different folders

Text classifier for Hierarchical Attention Networks for Document Classification

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

Collect and classify python projects on Github (deprecated)

Latex Symbol Classifier Web Frontend

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.