aamini / introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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Lab Materials for MIT 6.S191: Introduction to Deep Learning
Course Files for Complete Python 3 Bootcamp Course on Udemy
Best Practices, code samples, and documentation for Computer Vision.
This repository contains the source code for the paper First Order Motion Model for Image Animation
The 3rd edition of course.fast.ai
Temporary home for fastai v2 while it's being developed
TensorFlow examples
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
A game theoretic approach to explain the output of any machine learning model.
Learn OpenCV : C++ and Python Examples
Content for Udacity's Machine Learning curriculum
Notebooks and code for the book "Introduction to Machine Learning with Python"
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意
Дорожная карта по изучению Python
This repository contains implementations and illustrative code to accompany DeepMind publications
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
PyTorch tutorials demonstrating modern techniques with readable code
Stanford
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
The Numenta Anomaly Benchmark