Farahana's starred repositories
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
awesome-deep-learning-papers
The most cited deep learning papers
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
NYU-DLSP20
NYU Deep Learning Spring 2020
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
pytorch-classification
Classification with PyTorch.
lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
awesome-capsule-networks
A curated list of awesome resources related to capsule networks
pytorch-custom-dataset-examples
Some custom dataset examples for PyTorch
semi-supervised-pytorch
Implementations of various VAE-based semi-supervised and generative models in PyTorch
ggnn.pytorch
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
YOLOw-Keras
YOLOv2 Object Detection w/ Keras (in just 20 lines of code)
oreilly-kotlin-course
Source Code for O'Reilly Course
capsule-net-pytorch
[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
Interaction-networks_tensorflow
Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics
self_driving_cars
Companion code for Self-Driving Car YouTube Series
ddff-pytorch
Deep Depth from Focus implementation
fmri-analysis-vm
A VM setup for use in fMRI analysis and education
NIMH_repro_2017_03
A workshop on open and reproducible neuroscience held in March, 2017. These materials will cover 1) Using Python and Github to produce & share reproducible processing pipelines, 2) Structuring and reporting your data using community-recognized standards, 3) Accessing and contributing to shared repositories, 4) Using pre-print servers