akeapen's repositories
optimaltransport.github.io
Web site of the Computational Optimal Transport book
AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
Classifying_Data_Using_a_Support_Vector_Machine
This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
DataFramesComparisions
DataFrames Performance Comparisons for Pandas, Polars, Julia
Deep-Learning-TensorFlow
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
FMCW
Frequency modulated continuous wave and angle-of-arrival (AoA) demonstation in Julia.
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.
Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
models
Models built with TensorFlow
mathematical-tours.github.io
Site web of the Mathematical Tours
MultirateSP-fredharris
Code from Multirate Signal Processing for Communication Systems, 2nd edition, frederic j harris
rust_course
Rust programming language exercises
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
tensorflow-safari-course
Exercises and solutions to accompany my Safari course introducing TensorFlow.
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).