#Classification
Showing 60 of 331 repositories tagged #classification, ranked by stars
We write your reusable computer vision tools. ๐
deep learning for image processing including classification and object-detection etc.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Build your neural network easy and fast, ่ซ็ฆPythonไธญๆๆๅญฆ
all kinds of text classification models and more with deep learning
Postgres with GPUs for ML/AI apps.
Statistical Machine Intelligence & Learning Engine
Code for Tensorflow Machine Learning Cookbook
All-in-One Development Tool based on PaddlePaddle
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
๐ :bar_chart: :bulb: Orange: Interactive data analysis
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Tensorflow tutorial from basic to hard, ่ซ็ฆPython ไธญๆAIๆๅญฆ
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Sandbox for training deep learning networks
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Deep neural network to extract intelligent information from invoice documents.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Turn any computer or edge device into a command center for your computer vision projects.
An open source library and framework for deep learning on satellite and aerial imagery.
A high-level machine learning and deep learning library for the PHP language.
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
CVNets: A library for training computer vision networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
An all-in-one toolkit for computer vision
A Julia machine learning framework
A Python package for time series classification
A curated list of data mining papers about fraud detection.
Python AutoML for Trading Systems and Sports Betting
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Alias is a teachable โparasiteโ that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API ๐ฅ
Machine Learning in R
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
MLBox is a powerful Automated Machine Learning python library.
ใๆทฑๅบฆๅญฆไน ไธ่ฎก็ฎๆบ่ง่งใ้ ๅฅไปฃ็
Multi-class confusion matrix library in Python
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Tribuo - A Java machine learning library
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
Neural Network Compression Framework for enhanced OpenVINOโข inference
Collection of various algorithms implemented in R.
An intuitive library to extract features from time series.
mlr3: Machine Learning in R - next generation
Image Test Time Augmentation with PyTorch!
A scikit-learn based module for multi-label et. al. classification