Multi-class confusion matrix library in Python
Fast and customizable framework for automatic ML model creation (AutoML)
Deep Learning sample programs using PyTorch in C++
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
2017-CCF-BDCI-让AI当法官(初赛):7th/415 (Top 1.68%)
This library has been moved to https://github.com/ntumlgroup/LibMultiLabel
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
Image classification on Tiny ImageNet
Multiclass image classification using Convolutional Neural Network
Balanced Multiclass Image Classification with TensorFlow on Python.
TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time...
Hierarchical self-organizing maps for unsupervised pattern recognition
Automate detection of different emotions from paragraphs and predict overall emotion.
The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.
Python library for morphological cleaning of multiclass 2D numpy arrays (edge smoothing and island removal
Focal Loss implementation of the loss function proposed by Facebook AI Research to address class imbalance during training in tasks like object detection
This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.
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