Alex Diaz's Projects
Readme for github profile
Analysis of robust classification algorithms for overcoming class-dependant labelling noise: Forward, Importance Reweighting and T-revision. We demonstrate methods for estimating the transition matrix in order to obtain better classifier performance when working with noisy data.
Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm
Assignments from Applied Machine Learning Course in Columbia University
Autoencoder Tutorials by Keras
Udacity deep reinforcement learning navigation project
Cloning human driving behavior using a DNN
Comparative of the performance of computer vision models designed by hand and models designed using Hardware-Aware Neural Architecture Search (HW-NAS)
Breast Cancer Detection using Keras
Capstone_Project Autonomous Car Simulator
Train Schedule sample app for Jenkins Pipelines CD exercises
Train Schedule sample app for Git exercises
Train Schedule sample app for Jenkins exercises
Train Schedule sample app for Jenkins Pipelines exercises
Clean Automatically Text from Images
Service for generating cover letter using GPT-2 model, deployed on Google Cloud.
Deploy deepspeech model in lambda function using serverless framework
Autoencoder Denoising Documents from Kaggle
A Deep Learning based project for colorizing and restoring old images (and video!) Now available for CPU training!!
Dummy container image
Repositorio para el workshop de HacktoberFest2019
Simplified Image Colorization
Coronavirus Real-time using Kafka and Twitter
Markdown Cheatsheet for Github Readme.md
A real-time 3D digital map of Tokyo's public transport system
Neural Network from Scratch without Keras or Tensorflow
The implementation of NMF algorithms and the analysis of their robustness against different types of noise on ORL and YaleB dataset.
Adding noise as regularization method to reduce overffiting in neural networks