Guillermogsjc

argo-workflows

Workflow Engine for Kubernetes

Airbnb-Dynamic-Pricing-Optimization

[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.

aws-node-termination-handler

Gracefully handle EC2 instance shutdown within Kubernetes

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

PGPortfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pipreqs

pipreqs - Generate pip requirements.txt file based on imports of any project

pymc3

Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.

scikit-learn

scikit-learn: machine learning in Python

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

regex

An implementation of regular expressions for Rust. This implementation uses finite automata and guarantees linear time matching on all inputs.

Guillermogsjc/aws-node-termination-handler

Gracefully handle EC2 instance shutdown within Kubernetes

Guillermogsjc/PGPortfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

Guillermogsjc/pipreqs

pipreqs - Generate pip requirements.txt file based on imports of any project

Guillermogsjc/Airbnb-Dynamic-Pricing-Optimization

[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.

Guillermogsjc/argo-workflows

Workflow engine for Kubernetes

Guillermogsjc/awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

Guillermogsjc/awspricing

Python library for AWS pricing.

Guillermogsjc/cupy

NumPy-like API accelerated with CUDA

Guillermogsjc/dockerfiles

Guillermogsjc/dynamic-prices

Dynamic pricing for selling perishable goods

Guillermogsjc/facets

Visualizations for machine learning datasets

Guillermogsjc/feather

Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow

Guillermogsjc/finetune

Scikit-learn style model finetuning for NLP

Guillermogsjc/functions-static-ip

How to set up a static IP in Cloud Functions

Guillermogsjc/kaggle-toxicity

code for kaggle wikipedia toxicity competition

Guillermogsjc/opinion-reviews-scraper

amazon-reviews-scraper

Guillermogsjc/Optimus

:rocket: Optimus is the missing framework for cleansing (cleaning and much more), pre-processing and exploratory data analysis in a distributed fashion with Apache Spark.

Guillermogsjc/pandas-datareader

Guillermogsjc/pandas-gbq

Pandas Google Big Query

Guillermogsjc/RustPython

A Python Interpreter written in Rust

Guillermogsjc/SafeEyes

A Linux alternative for EyeLeo

Guillermogsjc/scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

Guillermogsjc/sentiment-spanish

Guillermogsjc/seriesnet

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

Guillermogsjc/StateNet

Towards Universal Dialogue State Tracking

Guillermogsjc/tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

Guillermogsjc/test-repo

test-repo

Guillermogsjc/testing-repository

branching and merging

Guillermogsjc/time-series-forecasting-CNN

Using a convolutional neural net for time series forecasting

Guillermogsjc/pyo3_ld_mock