alex-movila Goto Github PK

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

face-classification-js

Face classification on JavaScript

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

fairmot

A simple baseline for one-shot multi-object tracking

fastbook

Draft of the fastai book

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.

interview_ex_bethttpserver_2018

interview_ex_bieber_tweets_2018

Twitter client filtering messages about Bieber

interview_ex_docs_processor_etl_2018

interview_ex_marsroverphotogallery_2019

JAVA Springboot web app: Vaadin, NASA REST API client, Spring Data, Maven

interview_ex_mysimplestocks_2016

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.

ml-colab-tutorials

my-public-ai-presentations

notes

papers

Summaries of papers on machine learning, computer vision, autonomous robots etc.

practical-deep-learning-applied-to-time-series

Practical Deep Learning resources for Time series analysis and forecasting

practicals-2019

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

regenn

Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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.

timeseriesai

Practical Deep Learning for Time Series / Sequential Data using fastai/ Pytorch

tutorial-dlframework

Step-by-step tutorial to improve understanding of common operators in Deep Learning frameworks.

visualmachinelearning

yolov4_pytorch

Quick performance check of Pytorch implementation of YoloV4