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maybeee18's Projects

data_science_blogs icon data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

dataxbwcon icon dataxbwcon

This is the official repository for the bwcon + EY Data-X Masterclass

deep-clustering-kingdra icon deep-clustering-kingdra

Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning

deep-learning-2 icon deep-learning-2

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

deep-learning-3 icon deep-learning-3

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-for-hackers icon deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-learning-in-production icon deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-outlier-detection icon deep-outlier-detection

Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection

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