Jeremy Weasley's repositories
algorithms
Minimal examples of data structures and algorithms in Python
Capsule-Network-Tutorial
Pytorch easy-to-follow Capsule Network tutorial
capsule-networks
A barebones PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
cardiac-segmentation
Right Ventricle Cardiac MRI Segmentation
courses
fast.ai Courses
DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
dl4mir
Deep learning for MIR
every-programmer-should-know
A collection of (mostly) technical things every software developer should know
fastai
The fast.ai deep learning library, lessons, and tutorials
gluon-tutorials-zh
通过MXNet/Gluon来动手学习深度学习
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.
keras-SRU
Implementation of Simple Recurrent Unit in Keras
mac-setup
Installing Development environment on Mac OS X
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
ML-From-Scratch
Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning.
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow.
python-patterns
A collection of design patterns/idioms in Python
pytorch-capsule
Pytorch implementation of Hinton's Dynamic Routing Between Capsules
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
react-sortable-hoc
A set of higher-order components to turn any list into an animated, touch-friendly, sortable list ✌️
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN with competitive performance
spikenail
A GraphQL Framework for Node.js
Technical_Book_DL
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
The-Art-Of-Programming-By-July
本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售
understanding-pytorch-batching-lstm
Understanding and visualizing PyTorch Batching with LSTM
vimrc
The ultimate Vim configuration: vimrc
welcome_tutorials
Various tutorials given for welcoming new students at MILA.