ketranm

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Amazon Alexa AI

Berlin, Germany

http://ketranm.github.io

Ke Tran's starred repositories

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Language:PythonMIT29741 425 4161

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Language:PythonApache-2.029013 327 5294

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Language:PythonMIT22413 1282 100

ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Language:PythonMIT10446 284 1544

trax

Trax — Deep Learning with Clear Code and Speed

Language:PythonApache-2.08004 145 232

OpenNMT-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Language:PythonMIT6658 175 1441

leaf

Open Machine Intelligence Framework for Hackers. (GPU/CPU)

Language:RustApache-2.05559 187 50

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Language:Jupyter NotebookNOASSERTION4824 272 514

learning-to-learn

Learning to Learn in TensorFlow

Language:PythonApache-2.04064 200 27

malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

Language:JavaMIT4029 261 707

torch-rnn

Efficient, reusable RNNs and LSTMs for torch

Language:LuaMIT2486 87 188

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

Language:LuaNOASSERTION1445 54 89

end-to-end-negotiator

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Language:PythonNOASSERTION1376 98 24

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Language:Jupyter NotebookApache-2.01310 27 112

sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Language:PythonApache-2.01210 51 311

pytorch-struct

Fast, general, and tested differentiable structured prediction in PyTorch

Language:Jupyter NotebookMIT1100 34 55

fbcunn

Facebook's extensions to torch/cunn.

Language:LuaNOASSERTION1065 1230

sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

Language:PythonNOASSERTION1059 36 68

icml2016

Generative Adversarial Text-to-Image Synthesis

Language:LuaMIT906 40 32

torch-autograd

Autograd automatically differentiates native Torch code

Language:LuaApache-2.0556 50 108

Autoencoders

Torch implementations of various types of autoencoders

Language:LuaMIT466 20 10

adaptive-softmax

Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)

Language:LuaNOASSERTION394 24 4

svae

code for Structured Variational Autoencoders

Language:Python346 27 15

MIXER

Mixed Incremental Cross-Entropy REINFORCE ICLR 2016

Language:LuaNOASSERTION332 25 9

type

🎉 Minimal and Clean Free Jekyll Theme

Language:SCSSMIT212 8 13

torch-rnnlib

This library provides utilities for creating and manipulating RNNs to model sequential data.

Language:LuaNOASSERTION192 14 4

SCRNNs

This is a self contained software accompanying the paper titled: Learning Longer Memory in Recurrent Neural Networks: http://arxiv.org/abs/1412.7753.

Language:LuaNOASSERTION169 29 6

sa-nmt

structured attention encoder

Language:Python13 2 1

bert

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Language:Python200