Pinned Repositories
big-things-2019
Source code and data for my talk at Big Things 2019
cnn
Using fastai and CNNs to predict stock prices
covid19_weak_supervision
WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Interview_Ex_BetHttpServer_2018
Interview_Ex_Bieber_Tweets_2018
Twitter client filtering messages about Bieber
Interview_Ex_Docs_Processor_ETL_2018
Interview_Ex_MySimpleStocks_2016
ML-Colab-Tutorials
My-Public-AI-Presentations
WarehouseMonitoringService
alex-movila's Repositories
alex-movila/ML-Colab-Tutorials
alex-movila/My-Public-AI-Presentations
alex-movila/big-things-2019
Source code and data for my talk at Big Things 2019
alex-movila/Interview_Ex_BetHttpServer_2018
alex-movila/Interview_Ex_Bieber_Tweets_2018
Twitter client filtering messages about Bieber
alex-movila/Interview_Ex_Docs_Processor_ETL_2018
alex-movila/Interview_Ex_MySimpleStocks_2016
alex-movila/WarehouseMonitoringService
alex-movila/cnn
Using fastai and CNNs to predict stock prices
alex-movila/covid19_weak_supervision
WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
alex-movila/face-classification-js
Face classification on JavaScript
alex-movila/face_classification
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
alex-movila/FairMOT
A simple baseline for one-shot multi-object tracking
alex-movila/fastbook
Draft of the fastai book
alex-movila/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
alex-movila/Interview_Ex_MarsRoverPhotoGallery_2019
JAVA Springboot web app: Vaadin, NASA REST API client, Spring Data, Maven
alex-movila/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
alex-movila/notes
alex-movila/papers
Summaries of papers on machine learning, computer vision, autonomous robots etc.
alex-movila/Practical-Deep-Learning-Applied-to-Time-Series
Practical Deep Learning resources for Time series analysis and forecasting
alex-movila/practicals-2019
Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
alex-movila/ReGENN
Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
alex-movila/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
alex-movila/TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
alex-movila/timeseriesAI
Practical Deep Learning for Time Series / Sequential Data using fastai/ Pytorch
alex-movila/tutorial-dlframework
Step-by-step tutorial to improve understanding of common operators in Deep Learning frameworks.
alex-movila/visualmachinelearning
alex-movila/YoloV4_PyTorch
Quick performance check of Pytorch implementation of YoloV4