Top 503 classification open source projects

🍊 📊 💡 Orange: Interactive data analysis

Deep-Learning Model Exploration and Development for NLP

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

iOS代码混淆插件；A plugin to confuse codes in iOS Platform.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Scalable Time Series Data Analytics

Apparel detection using deep learning

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

fastai V2 implementation of Timeseries classification papers.

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

🧠 AI powered image tagger backed by DeepDetect

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

An intuitive library to extract features from time series

BERT distillation（基于BERT的蒸馏实验 ）

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

LAMA - automatic model creation framework

Rinvex Categorizable is a polymorphic Laravel package, for category management. You can categorize any eloquent model with ease, and utilize the power of Nested Sets, and the awesomeness of Sluggable, and Translatable models out of the box.

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

3D image classification using CNN (Convolutional Neural Network)

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

Scala Library/REPL for Machine Learning Research

Fake News Detection in Python

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

Aspect Based Sentiment Analysis using End-to-End Memory Networks

PaddlePaddle to ONNX model converter

Enhance your WordPress content with Artificial Intelligence and Machine Learning services.

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

An easy to use PyTorch to TensorRT converter

A tiny and standalone javascript library for classification and basic statistics :

Papers and Datasets about Point Cloud.

My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745.

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Sandbox for training deep learning networks

deep learning for image processing including classification and object-detection etc.

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Collection of stats, modeling, and data science tools in Python and R.

Taxonomies used in MISP taxonomy system and can be used by other information sharing tool.

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Detect the programming language of a source code

Awesome-Text-Classification Projects,Papers,Tutorial .

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Code for Java Deep Learning Cookbook

Code and Resources for "Applied Machine Learning"

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).

Transfer Learning for Anime Characters Recognition

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

PyTorch Implementation of Stacked U-Nets (SUNets)

Darknet2ncnn converts the darknet model to the ncnn model