Stars
Building Agents with Imagination: pytorch step-by-step implementation
Binary feature representations with tile coding
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Python implements of psuedo-codes in "Algorithms for Reinforcement Learning"
A Python Toolkit for Managing a Large Number of Experiments
Python Implementation of Reinforcement Learning: An Introduction
PyTorch implementation of Trust Region Policy Optimization
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Python wrapper for evaluating summarization quality by ROUGE package
PyTorch implementation of batched bi-RNN encoder and attention-decoder.
A library for efficient similarity search and clustering of dense vectors.
Fully batched seq2seq example based on practical-pytorch, and more extra features.
The guide to tackle with the Text Summarization
Extract all the fields from the NY Times Corpus to a csv
An application for parsing chat history from a Facebook data archive.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.