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all-hyperparamter-optimization

animal_classification

This convolutional neural network obtained state-of-the-art performance at object recognition on the CIFAR-10 image dataset in 2015. We will build this model using Keras, a high-level neural network application programming interface (API) that supports both Theano and Tensorflow backends. You can use either backend; however, I will be using Theano.

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

boilerplate-webscraping

The repository contains the boiler plate code for we scrapping.

car_selling_price_prediction

carr_prediction_final

check-reader

computer-vision

cottoninception

coursera-deeplearning-specialization

Homework from the deeplearning.ai Deep Learning Specialization on Coursera

credit_card_fraud_detection

Throughout the financial sector, machine learning algorithms are being developed to detect fraudulent transactions. In this project, that is exactly what we are going to be doing as well. Using a dataset of of nearly 28,500 credit card transactions and multiple unsupervised anomaly detection algorithms, we are going to identify transactions with a high probability of being credit card fraud. In this project, we will build and deploy the following two machine learning algorithms: Local Outlier Factor (LOF), Isolation Forest Algorithm

cv

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deeplearning.ai_specialization_coursera

django_tml

edge-detection-from-excel

flower-recognition-cnn

Classified the Set of Flower Images on VGG 16 Model

flower_classification_vgg16

fruits_classifier_cnn

A high-quality, dataset of images containing fruits. The following fruits are included: Apples (different varieties: Golden, Golden-Red, Granny Smith, Red, Red Delicious), Apricot, Avocado, Avocado ripe, Banana (Yellow, Red), Cactus fruit, Cantaloupe (2 varieties), Carambula, Cherry (different varieties, Rainier), Cherry Wax (Yellow, Red, Black), Clementine, Cocos, Dates, Granadilla, Grape (Pink, White, White2), Grapefruit (Pink, White), Guava, Huckleberry, Kiwi, Kaki, Kumsquats, Lemon (normal, Meyer), Lime, Lychee, Mandarine, Mango, Maracuja, Melon Piel de Sapo, Mulberry, Nectarine, Orange, Papaya, Passion fruit, Peach, Pepino, Pear (different varieties, Abate, Monster, Williams), Physalis (normal, with Husk), Pineapple (normal, Mini), Pitahaya Red, Plum, Pomegranate, Quince, Rambutan, Raspberry, Salak, Strawberry (normal, Wedge), Tamarillo, Tangelo, Tomato (different varieties, Maroon, Cherry Red), Walnut.

gesture-recognition

:hand: Recognizing "Hand Gestures" using OpenCV and Python.

harrisburg-ai

knn-movie-recomendation

livewire_sql_scala

machine_learning

Implementation of several machine learning algorithms

ml-iris-dataset

ml_text_classification_

Natural Language Processing for Text Classification with NLTK and Scikit-learn

movie_recommendation_system

open_cv

pong-game

powerbi_dashboards