Stars
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
TensorFlow Tutorials with YouTube Videos
Image restoration with neural networks but without learning.
Simple tutorials using Google's TensorFlow Framework
A scikit-learn compatible neural network library that wraps PyTorch
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
TensorFlow Basic Tutorial Labs
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
line drawing colorization using chainer
A python tutorial on bayesian modeling techniques (PyMC3)
Demo of running NNs across different frameworks
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Bayesian Data Analysis demos for Python
Various tutorials given for welcoming new students at MILA.
Image Segmentation and Object Detection in Pytorch
2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.
This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
Training Very Deep Neural Networks Without Skip-Connections
a tensorflow implementation of WGAN
A collection of deep learning tutorials using Tensorflow and Python
Dataset to assess the disentanglement properties of unsupervised learning methods
PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Kind PyTorch Tutorial for beginners
Little More Advanced TensorFlow Implementations