Multi-class confusion matrix library in Python
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Updated
Jul 22, 2024 - Python
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%)
A library for multi-class and multi-label classification
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
Multiclass image classification using Convolutional Neural Network
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…
Balanced Multiclass Image Classification with TensorFlow on Python.
Image classification on Tiny ImageNet
Hierarchical self-organizing maps for unsupervised pattern recognition
Automate detection of different emotions from paragraphs and predict overall emotion.
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.
This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.
alternative illustration2vec implitation of sigmoids of fully connected layer
Practical ML and NLP with examples.
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