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A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Clean PyTorch implementations of imitation and reward learning algorithms

For the project of f-GAIL

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Disagreement-Regularized Imitation Learning

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

PyTorch implementations of algorithms for density estimation

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

This repository contains implementation details and codes for the TrajGAIL

PyTorch implementation of SoftFlow

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Template and style files for ICLR

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.