GitHub - efstathios-chatzikyriakidis/computational-intelligence-research: In this repository I keep all the AI-related (machine learning, deep learning, data science) notebooks I have played with in the past.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Another explanation about PCA		Another explanation about PCA
Art Generation with Neural Style Transfer		Art Generation with Neural Style Transfer
Assignment 1 Autocorrect		Assignment 1 Autocorrect
Assignment 1 Deep N-grams		Assignment 1 Deep N-grams
Assignment 1 Logistic Regression		Assignment 1 Logistic Regression
Assignment 1 Neural Machine Translation		Assignment 1 Neural Machine Translation
Assignment 2 - Named Entity Recognition (NER)		Assignment 2 - Named Entity Recognition (NER)
Assignment 2 Naive Bayes		Assignment 2 Naive Bayes
Assignment 2 Parts-of-Speech Tagging (POS)		Assignment 2 Parts-of-Speech Tagging (POS)
Assignment 2 Transformer Summarizer		Assignment 2 Transformer Summarizer
Assignment 3 Hello Vectors		Assignment 3 Hello Vectors
Assignment 3 Language Models Auto-Complete		Assignment 3 Language Models Auto-Complete
Assignment 3 Question Answering		Assignment 3 Question Answering
Assignment 3 Question duplicates		Assignment 3 Question duplicates
Assignment 4 - Naive Machine Translation and LSH		Assignment 4 - Naive Machine Translation and LSH
Assignment 4 Word Embeddings		Assignment 4 Word Embeddings
Autonomous driving application - Car detection		Autonomous driving application - Car detection
BBC text encoding (tokenization, padding)		BBC text encoding (tokenization, padding)
BBC topic classification (words, validation set, DNN, word embeddings)		BBC topic classification (words, validation set, DNN, word embeddings)
Basic Attention Operation Ungraded Lab		Basic Attention Operation Ungraded Lab
Building a Recurrent Neural Network - Step by Step		Building a Recurrent Neural Network - Step by Step
Building and Visualizing word frequencies		Building and Visualizing word frequencies
Building the language model		Building the language model
Building your Deep Neural Network - Step by Step		Building your Deep Neural Network - Step by Step
Calculating perplexity using numpy Ungraded Lecture Notebook		Calculating perplexity using numpy Ungraded Lecture Notebook
Calculating the Bilingual Evaluation Understudy (BLEU) score Ungraded Lab		Calculating the Bilingual Evaluation Understudy (BLEU) score Ungraded Lab
Convolution model - Application		Convolution model - Application
Convolution model - Step by Step		Convolution model - Step by Step
Convolutional Classifier Cats-Dogs (validation set, data augmentation)		Convolutional Classifier Cats-Dogs (validation set, data augmentation)
Convolutional Classifier Cats-Dogs (validation set, feature maps visualization)		Convolutional Classifier Cats-Dogs (validation set, feature maps visualization)
Convolutional Classifier Fashion MNIST (test set, feature maps visualization)		Convolutional Classifier Fashion MNIST (test set, feature maps visualization)
Convolutional Classifier Happy-Sad		Convolutional Classifier Happy-Sad
Convolutional Classifier Horse-Human (feature maps visualization)		Convolutional Classifier Horse-Human (feature maps visualization)
Convolutional Classifier Horse-Human (validation set, data augmentation)		Convolutional Classifier Horse-Human (validation set, data augmentation)
Convolutional Classifier Horse-Human (validation set, data augmentation, dropout)		Convolutional Classifier Horse-Human (validation set, data augmentation, dropout)
Convolutional Classifier Horse-Human (validation set, feature maps visualization)		Convolutional Classifier Horse-Human (validation set, feature maps visualization)
Convolutional Classifier Kaggle Cats-Dogs (data augmentation, validation set)		Convolutional Classifier Kaggle Cats-Dogs (data augmentation, validation set)
Convolutional Classifier Kaggle Cats-Dogs (validation set)		Convolutional Classifier Kaggle Cats-Dogs (validation set)
Convolutional Classifier MNIST		Convolutional Classifier MNIST
Convolutional Classifier Rock-Paper-Scissors (validation set, data augmentation)		Convolutional Classifier Rock-Paper-Scissors (validation set, data augmentation)
Convolutional Classifier Signs MNIST (validation set, data augmentation)		Convolutional Classifier Signs MNIST (validation set, data augmentation)
Creating a Siamese model Ungraded Lecture Notebook		Creating a Siamese model Ungraded Lecture Notebook
Daily temperature forecasting (stacked LSTMs, Conv1D, learning rate scheduler)		Daily temperature forecasting (stacked LSTMs, Conv1D, learning rate scheduler)
Deep Neural Network Application Image Classification		Deep Neural Network Application Image Classification
Dense Classifier Fashion MNIST		Dense Classifier Fashion MNIST
Dinosaurus Island - Character level language model final		Dinosaurus Island - Character level language model final
Edge detection using convolutional filters		Edge detection using convolutional filters
Einstein Summation Examples		Einstein Summation Examples
Emojify Classification		Emojify Classification
Evaluate a Siamese model Ungraded Lecture Notebook		Evaluate a Siamese model Ungraded Lecture Notebook
FNS 2020		FNS 2020
Face Recognition for the Happy House		Face Recognition for the Happy House
Faces extraction with dlib		Faces extraction with dlib
Gradient Checking		Gradient Checking
Hash functions and multiplanes		Hash functions and multiplanes
Hidden State Activation Ungraded Lecture Notebook		Hidden State Activation Ungraded Lecture Notebook
Hyperparameter optimization with hyperas		Hyperparameter optimization with hyperas
Image recognition with 2 classes and Inception V3 transfer learning		Image recognition with 2 classes and Inception V3 transfer learning
Improvise a Jazz Solo with an LSTM Network		Improvise a Jazz Solo with an LSTM Network
InceptionV3 Transfer Learning Cats-Dogs (data augmentation, validation set)		InceptionV3 Transfer Learning Cats-Dogs (data augmentation, validation set)
InceptionV3 Transfer Learning Horse-Man (data augmentation, validation set)		InceptionV3 Transfer Learning Horse-Man (data augmentation, validation set)
Irish lyrics text generation (LSTM, n-grams)		Irish lyrics text generation (LSTM, n-grams)
Irish song Lyrics text generation (LSTM, n-grams)		Irish song Lyrics text generation (LSTM, n-grams)
Kaggle Titanic with skrobot		Kaggle Titanic with skrobot
Keras - Tutorial - Happy House		Keras - Tutorial - Happy House
Lab 1 TensorFlow Tutorial and Some Useful Functions		Lab 1 TensorFlow Tutorial and Some Useful Functions
Learning Python in Google Colab		Learning Python in Google Colab
Linear algebra in Python with NumPy		Linear algebra in Python with NumPy
Logistic Regression as a Neural Network		Logistic Regression as a Neural Network
Manipulating word embeddings		Manipulating word embeddings
Masking		Masking
Modified Triplet Loss Ungraded Lecture Notebook		Modified Triplet Loss Ungraded Lecture Notebook
Movies recommendation - Collaborating Filtering		Movies recommendation - Collaborating Filtering
Multivariate time-series classification using deep learning		Multivariate time-series classification using deep learning
N-grams Corpus preprocessing		N-grams Corpus preprocessing
NLP Course 2 Week 1 Lesson Building The Model - Lecture Exercise 01		NLP Course 2 Week 1 Lesson Building The Model - Lecture Exercise 01
NLP Course 2 Week 1 Lesson Building The Model - Lecture Exercise 02		NLP Course 2 Week 1 Lesson Building The Model - Lecture Exercise 02
Naive approaches for forecasting time-series (naive, moving, differencing)		Naive approaches for forecasting time-series (naive, moving, differencing)
Neural Network Initialization		Neural Network Initialization
Neural Network Regularization		Neural Network Regularization
Neural machine translation with attention		Neural machine translation with attention
Operations on word vectors		Operations on word vectors
Out of vocabulary words (OOV)		Out of vocabulary words (OOV)
PYCON 2019 Pandas tutorial		PYCON 2019 Pandas tutorial
Parts-of-Speech Tagging - First Steps Working with text files		Parts-of-Speech Tagging - First Steps Working with text files
Parts-of-Speech Tagging - Working with tags and Numpy		Parts-of-Speech Tagging - Working with tags and Numpy
Planar data classification with one hidden layer		Planar data classification with one hidden layer
Positional Encoding		Positional Encoding
Preprocessing		Preprocessing
Python Basics with Numpy		Python Basics with Numpy
Question Answering with BERT and HuggingFace 🤗 (Fine-tuning)		Question Answering with BERT and HuggingFace 🤗 (Fine-tuning)
Question Answering with BERT and HuggingFace		Question Answering with BERT and HuggingFace
Residual Networks		Residual Networks
Sarcasm Detection (words, validation set, DNN, Conv1D, word embeddings)		Sarcasm Detection (words, validation set, DNN, Conv1D, word embeddings)
Sarcasm Detection (words, validation set, DNN, word embeddings)		Sarcasm Detection (words, validation set, DNN, word embeddings)
Sarcasm Detection (words, validation set, LSTM, word embeddings)		Sarcasm Detection (words, validation set, LSTM, word embeddings)
Sarcasm text encoding (tokenization, padding)		Sarcasm text encoding (tokenization, padding)
Scaled Dot-Product Attention Ungraded Lab		Scaled Dot-Product Attention Ungraded Lab
SentencePiece and BPE		SentencePiece and BPE
Sentiment Analysis IMDB (subwords, validation set, DNN, word embeddings)		Sentiment Analysis IMDB (subwords, validation set, DNN, word embeddings)

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