Wayne Small's repositories
stanford-cs229
These are my solutions to the problem sets for Stanford's Machine Learning class - cs229
lstm-numpy
Vanilla LSTM with numpy
conjugate-gradient
This is the source code for my blog post on the Conjugate Gradient algorithm
deep-RL-bootcamp
My solutions to the labs from this bootcamp:
machine-learning
A library for neural networks and deep learning
stanford-cs224n
My solutions to the class assignments
stanford-cs231n
My solutions to the class assignments
cnn-from-scratch
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
data-algos
Early stage: this will be a C library of data structures & algorithms
docker-ubuntu-ssh-setup
Setup SSH keys in a Docker Ubuntu container
every-programmer-should-know
A collection of (mostly) technical things every software developer should know
numpy-exercises
Various things I note while learning NumPy
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
simple-neural-nets
Very simple neural nets, two and three layers, using only NumPy
ubuntu-python3
Ubuntu:latest and Python3
udp-hp-ios
Supproto in the App Store: peer-to-peer networking, video, and chatting
wondershaper
Command-line utility for limiting an adapter's bandwidth
qbe-take-home-assignment
This assignment will assess your skills in data handling, API development, and using Git.