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namapolo's Projects

napkinml icon napkinml

A tiny lib with pocket-sized implementations of machine learning models in NumPy.

pix2pix-film icon pix2pix-film

An implementation of Pix2Pix in Tensorflow for use with frames from films

pokemon_gan icon pokemon_gan

This is the code for "Generating Pokemon with a Generative Adversarial Network" by Siraj Raval on Youtube

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-pretrained-bert icon pytorch-pretrained-bert

The Big-&-Extending-Repository-of-Transformers: PyTorch pretrained models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

relativisticgan icon relativisticgan

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

resnet-cppn-gan-tensorflow icon resnet-cppn-gan-tensorflow

Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.

rl-adventure-2 icon rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

segan icon segan

Speech Enhancement Generative Adversarial Network in TensorFlow

simgan icon simgan

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

ssgan-tensorflow icon ssgan-tensorflow

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

studybook icon studybook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

tensor2tensor icon tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-cycle-gan icon tensorflow-cycle-gan

This is my attempt at recreating the CycleGAN paper: https://arxiv.org/pdf/1703.10593.pdf

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