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practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

prml

PRML algorithms implemented in Python

pseudo-ref

Implementation of the pseudo-reference generation algorithm proposed in EMNLP 2018 paper: Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation

pytorch-actorcriticrl

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

pytorch-dual-learning

Implementation of Dual Learning NMT on PyTorch

pytorch_nmt

A neural machine translation model in PyTorch

pytorchdiscreteflows

Discrete Normalizing Flows implemented in PyTorch

reder

[NeurIPS 2021] Duplex Sequence-to-Sequence Learning for Reversible Machine Translation

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

rezero

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

seq2seq-pytorch

Sequence to Sequence Models with PyTorch

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-1

图解tensorflow 源码

transformer-pytorch

treeenc

Code for our paper "On Tree-Based Neural Sentence Modeling" at EMNLP 2018.

var-attn

Latent Alignment and Variational Attention

wmt16-scripts

scripts and configuration files for Edinburgh neural MT submission to WMT 16 shared translation task

zhengzx-nlp.github.io