akeapen Goto Github PK

adabound

An optimizer that trains as fast as Adam and as good as SGD.

akeapen.github.io

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"

dlwin

GPU-accelerated Deep Learning on Windows 10 native

fmcw

Frequency modulated continuous wave and angle-of-arrival (AoA) demonstation in Julia.

fmin_adam

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

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

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

mathematical-tours.github.io

Site web of the Mathematical Tours

models

Models built with TensorFlow

multiratesp-fredharris

Code from Multirate Signal Processing for Communication Systems, 2nd edition, frederic j harris

optimaltransport.github.io

Web site of the Computational Optimal Transport book

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

rust_course

Rust programming language exercises

rust_week1_test

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).

vae-tf

repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs