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awesome-gans

Awesome Generative Adversarial Networks with tensorflow

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

cycle_test

deep_learning_101

Introduction to the basic notions that involve the concept of Machine Learning and Deep Learning. Linear Regression, Logistic Regression, Artificial Neural Networks, Deep Neural Networks, Convolutional Neural Networks.

deeplearningmugenknock

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

ganhacks

starter from "How to Train a GAN?" at NIPS2016

ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

improving-dl-accuracy-gan

Improving Deep Learning accuracy using Generative Adversarial Networks (GANs). Implemented in PyTorch

leafgan

machine-learning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

mids-python-bridge

neural-style-pytorch

Neural Style implementation in PyTorch! :art:

plant-pathology-2020-fgvc7

plant_diseases

plant_village_data

plantdiseasedetection

MIDS W210 Capstone project

plantvillage

pv2

pytorch-wgan

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

v2

W251 2018 reload

whirlwindtourofpython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

wildtrack_footprint