Name: Daniel Hoyos
Type: User
Company: Blue Orange Digital
Bio: Machine Learning Engineer
@blueorangedigital Deep into Machine Learning, Deep Learning, NLP, Deep RL and Time Series Forecast
Twitter: dannyehb
Location: Bogotá / Colombia
Blog: https://www.linkedin.com/in/daniel-hoyos-2b3a07a1/
Daniel Hoyos's Projects
An open-source NLP research library, built on PyTorch.
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
Deep Learning implementation focused on Recurrent Neural Network Architectures
Modularized Implementation of Deep RL Algorithms in PyTorch
Single Agent DDPG (Deep Deterministic Policy Gradient) Implementation
DQN (Deep Q Network) implementation
Multi Agent Deep Deterministic Policy Gradient Implementation
Implementation of Reinforce Algorithm
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Kaggle competition codebase
Machine-readable lists of lemma-token pairs in 23 languages.
Models and examples built with TensorFlow
Architectures for NLP in pytorch
The "Python Machine Learning (2nd edition)" book code repository and info resource
Time series forecasting with PyTorch
PyTorch Tutorial for Deep Learning Researchers
machine learning based dialogue engine for conversational software
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A PyTorch Implementation of End-to-End Models for Speech-to-Text
Tesseract Open Source OCR Engine (main repository)
A Fast Sequence Transducer Implementation with PyTorch Bindings
Fast parallel CTC.
Workflow-Guided Exploration: sample-efficient RL agent for web tasks