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openai / gpt-2

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Code for the paper "Language Models are Unsupervised Multitask Learners"

paper

Updated Sep 8, 2020
Python

openai / jukebox

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Code for the paper "Jukebox: A Generative Model for Music"

audio music paper pytorch transformer generative-model vq-vae

Updated Jul 4, 2020
Python

zzw922cn / Automatic_Speech_Recognition

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End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

audio deep-learning tensorflow paper end-to-end evaluation cnn lstm speech-recognition rnn automatic-speech-recognition feature-vector data-preprocessing phonemes timit-dataset layer-normalization rnn-encoder-decoder chinese-speech-recognition

Updated Feb 24, 2020
Python

openai / glow

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Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

paper

Updated Jan 28, 2020
Python

podgorskiy / ALAE

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[CVPR2020] Adversarial Latent Autoencoders

python machine-learning computer-vision deep-learning neural-network paper pytorch generative-adversarial-network gan generative-model autoencoder celeba paper-implementations face-generation pytorch-implementation celeba-hq stylegan ffhq cvpr2020 alae

Updated Aug 26, 2020
Python

openai / improved-gan

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Code for the paper "Improved Techniques for Training GANs"

paper

Updated Nov 21, 2018
Python

KupynOrest / DeblurGAN

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Image Deblurring using Generative Adversarial Networks

computer-vision deep-learning neural-network paper image-processing pytorch gan image-manipulation convolutional-networks convolutional-neural-networks pix2pix deblurring image-to-image-translation blurry-images

Updated Dec 25, 2019
Python

openai / pixel-cnn

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Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

paper

Updated Feb 3, 2020
Python

Rayhane-mamah / Tacotron-2

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DeepMind's Tacotron-2 Tensorflow implementation

python text-to-speech tensorflow paper speech-synthesis wavenet tacotron

Updated May 29, 2020
Python

openai / finetune-transformer-lm

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Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

paper

Updated Jan 25, 2019
Python

openai / generating-reviews-discovering-sentiment

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Code for "Learning to Generate Reviews and Discovering Sentiment"

paper

Updated Jul 31, 2019
Python

openai / evolution-strategies-starter

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Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

paper

Updated Oct 31, 2019
Python

openai / neural-mmo

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Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"

paper

Updated Mar 12, 2020
Python

Ceruleanacg / Personae

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📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

reinforcement-learning trading paper stock supervised-learning stock-price-prediction stock-data time-series-prediction

Updated Nov 29, 2018
Python

openai / InfoGAN

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Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

paper

Updated Dec 7, 2019
Python

openai / multiagent-particle-envs

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Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

paper

Updated Aug 14, 2020
Python

openai / large-scale-curiosity

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Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

paper

Updated Jan 26, 2020
Python

openai / maddpg

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Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

paper

Updated Apr 6, 2020
Python

openai / random-network-distillation

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Code for the paper "Exploration by Random Network Distillation"

paper

Updated May 11, 2019
Python

titu1994 / DenseNet

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DenseNet implementation in Keras

deep-learning paper keras densenet densenet-model bottleneck

Updated Jun 10, 2020
Python

openai / multiagent-competition

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Code for the paper "Emergent Complexity via Multi-agent Competition"

paper

Updated Oct 20, 2019
Python

hollobit / All-About-the-GAN

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All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

deep-learning neural-network tensorflow paper detection pytorch medical-imaging generative-adversarial-network gan classification segmentation arxiv reconstruction unsupervised-learning adversarial-networks adversarial-nets cgan image-synthesis ct-denoising medical-image-synthesis

Updated Oct 3, 2018
Python

openai / deeptype

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Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution"

paper

Updated Mar 7, 2019
Python

openai / mlsh

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Code for the paper "Meta-Learning Shared Hierarchies"

paper

Updated Jul 3, 2019
Python

openai / imitation

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Code for the paper "Generative Adversarial Imitation Learning"

paper

Updated Nov 22, 2018
Python

ankitaggarwal011 / PyCNN

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Image Processing with Cellular Neural Networks in Python

python computer-science library control computer-vision cross-platform neural-network feedback paper image-processing cnn cellular cnn-processors edge-detection corner-detection

Updated Nov 1, 2018
Python

anantzoid / Conditional-PixelCNN-decoder

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Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

deep-learning tensorflow paper convolution deepmind generative-algorithm

Updated Jun 18, 2018
Python

openai / iaf

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Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

paper

Updated Nov 22, 2018
Python

ratschlab / RGAN

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Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

time-series paper medical gan mnist rnn arxiv

Updated Oct 7, 2018
Python

mlachmish / MusicGenreClassification

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Classify music genre from a 10 second sound stream using a Neural Network.

deep-learning neural-network tensorflow paper music-genre-classification

Updated Jan 11, 2020
Python

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