Name: Guillermo González
Type: User
Company: https://gitlab.com/Guillermogsjc
Bio: Data Science, devops (mlops, cloud IAAC and K8S), orchestration of ML Dags, and architecture and devops of those ML Dags
Twitter: infinite_apesML
Location: Seville, Spain
Blog: https://www.linkedin.com/in/guillermogsds/
Guillermo González's Projects
The classical papers and codes about generative adversarial nets
Deep Reinforcement Learning library for humans
[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
Data sets and scripts for the publication in Energy and Buildings
Workflow engine for Kubernetes
Recurrent Neural Network - A curated list of resources dedicated to RNN
A curated list of awesome articles, software libraries and resources on Scientific Computing
Gracefully handle EC2 instance shutdown within Kubernetes
Python library for AWS pricing.
Code for my book on Multi-Armed Bandit Algorithms
A Python implementation of global optimization with gaussian processes.
Predictive modeling for Bitcoin prices using LSTM and stacked neural nets
A library of sklearn compatible categorical variable encoders
Python 2/3 compatible character encoding detector.
Convolutional Neural Network for Text Classification in Tensorflow
A data-backed adwords campaign bidder
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
Python module for performing basic dense linear algebra computations on the GPU using CUDA.
NumPy-like API accelerated with CUDA
Parallel computing with task scheduling
Distributed Evolutionary Algorithms in Python
Density Based Clustering (DeBaCl) Toolbox
# Deep Learning with Keras and Tensorflow
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Reinforcement Learning with Goals
Python code for the series of Blog posts on Reinforcement Learning
Distributed computation in Python