waynemystir Goto Github PK

clrs

📚 Solutions to Introduction to Algorithms Third Edition

cnn-from-scratch

A Convolutional Neural Network implemented from scratch (using only numpy) in Python.

conjugate-gradient

This is the source code for my blog post on the Conjugate Gradient algorithm

crypto_wrapper

This is a convenience wrapper for some frequently-used OpenSSL functions

data-algos

Early stage: this will be a C library of data structures & algorithms

datastructuresandalgorithms

deep-rl-bootcamp

My solutions to the labs from this bootcamp:

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

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

google-places-objc

Demo of the Google Places API in Objective-C

google-places-swift

Demo of the Google Places API in Swift

helloflickr

iperf

iperf3: A TCP, UDP, and SCTP network bandwidth measurement tool

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

leetcode

🎓Leetcode solutions in Python 📚

library-of-congress

linear_algebra_refresher

lstm-numpy

Vanilla LSTM with numpy

machine-learning

A library for neural networks and deep learning

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mnist-k-means-clustering

K-Means Clustering to Identify Handwritten Digits

movieplayerios

network

Provides a number of helper functions for networking and sockaddr's in C

numpy-exercises

Various things I note while learning NumPy

qbe-take-home-assignment

This assignment will assess your skills in data handling, API development, and using Git.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rest_services

Various REST services

sampleapp01

simple-neural-nets

Very simple neural nets, two and three layers, using only NumPy