Multi-class confusion matrix library in Python

2017-CCF-BDCI-让AI当法官(初赛)：7th/415 (Top 1.68%)

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

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

Balanced Multiclass Image Classification with TensorFlow on Python.

Hierarchical self-organizing maps for unsupervised pattern recognition

alternative illustration2vec implitation of sigmoids of fully connected layer

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

This repository is containing an object classification & localization project for SINGLE object.

A Generalized Multiclass Support Vector Machine

Image classification on Tiny ImageNet

[WIP] In this repository I implemented all assignments in python. (No octave to python library)

Implementation of Very Deep Convolutional Neural Network paper

Practical ML and NLP with examples.

Multiclass image classification using Convolutional Neural Network

A case study on Pfam dataset to classify protein families.

An SVM model for multi-class classification of Thyroid data.

User-shelf interaction classification

Using machine-learning to predict the localization of colorectal cancer using epigenetic data. (Illumina Human Methylation 27K data from TCGA)

Multiple Class Flower Image Classification CNN using Keras

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 Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf

iNaturalist 2019 at FGVC6 Fine-grained classification spanning a thousand species

This repository is containing my Jupyter files.

K-means(L2), Softmax linear classifier and 2-layers neuronal network(ReLU) - custom dataset

This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.

TensorFlow implementations of a Restricted Boltzmann Machine and an unsupervised Deep Belief Network, including unsupervised fine-tuning of the Deep Belief Network.

Multilayer Perceptron with TensorFlow on Iris dataset