Pinned Repositories
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
optimaltransport.github.io
Web site of the Computational Optimal Transport book
akeapen's Repositories
akeapen/optimaltransport.github.io
Web site of the Computational Optimal Transport book
akeapen/AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
akeapen/akeapen.github.io
akeapen/Classifying_Data_Using_a_Support_Vector_Machine
This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
akeapen/DataFramesComparisions
DataFrames Performance Comparisons for Pandas, Polars, Julia
akeapen/Deep-Learning-TensorFlow
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
akeapen/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
akeapen/dlwin
GPU-accelerated Deep Learning on Windows 10 native
akeapen/FMCW
Frequency modulated continuous wave and angle-of-arrival (AoA) demonstation in Julia.
akeapen/fmin_adam
Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
akeapen/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.
akeapen/Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
akeapen/models
Models built with TensorFlow
akeapen/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
akeapen/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
akeapen/mathematical-tours.github.io
Site web of the Mathematical Tours
akeapen/MultirateSP-fredharris
Code from Multirate Signal Processing for Communication Systems, 2nd edition, frederic j harris
akeapen/rust_course
Rust programming language exercises
akeapen/rust_week1_test
akeapen/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
akeapen/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
akeapen/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
akeapen/tensorflow-safari-course
Exercises and solutions to accompany my Safari course introducing TensorFlow.
akeapen/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
akeapen/vae-tf
repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs