guillermogsjc Goto Github PK

adversarialnetspapers

The classical papers and codes about generative adversarial nets

agentnet

Deep Reinforcement Learning library for humans

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.

appliances-energy-prediction-data

Data sets and scripts for the publication in Energy and Buildings

argo-workflows

Workflow engine for Kubernetes

awesome-deep-learning-papers

awesome-rnn

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

awesome-scientific-computing

A curated list of awesome articles, software libraries and resources on Scientific Computing

aws-node-termination-handler

Gracefully handle EC2 instance shutdown within Kubernetes

awspricing

Python library for AWS pricing.

banditsbook

Code for my book on Multi-Armed Bandit Algorithms

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bitcoin-nn

Predictive modeling for Bitcoin prices using LSTM and stacked neural nets

categorical-encoding

A library of sklearn compatible categorical variable encoders

chardet

Python 2/3 compatible character encoding detector.

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

conductor

A data-backed adwords campaign bidder

convnets-keras

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

cudamat

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

cupy

NumPy-like API accelerated with CUDA

dask

Parallel computing with task scheduling

deap

Distributed Evolutionary Algorithms in Python

debacl

Density Based Clustering (DeBaCl) Toolbox

deep-learning-keras-tensorflow

# Deep Learning with Keras and Tensorflow

deep_trader

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.

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

dfp

Reinforcement Learning with Goals

dissecting-reinforcement-learning

Python code for the series of Blog posts on Reinforcement Learning

distributed

Distributed computation in Python