Learning To Learn By Pytorch"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
Stars: ✭ 31 (+0%)
MindseyeNeural Networks in Java 8 with CuDNN and Aparapi
Stars: ✭ 8 (-74.19%)
Cppnumericalsolversa lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)
Stars: ✭ 638 (+1958.06%)
GorgoniaGorgonia is a library that helps facilitate machine learning in Go.
Stars: ✭ 4,295 (+13754.84%)
OptimOptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Stars: ✭ 411 (+1225.81%)
Neuralnetwork.netA TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
Stars: ✭ 392 (+1164.52%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+1012.9%)
Ai Simplest NetworkThe simplest form of an artificial neural network explained and demonstrated.
Stars: ✭ 333 (+974.19%)
Pytorch Meta OptimizerA PyTorch implementation of Learning to learn by gradient descent by gradient descent
Stars: ✭ 275 (+787.1%)
DiffmorphImage morphing without reference points by applying warp maps and optimizing over them.
Stars: ✭ 249 (+703.23%)
least-squares-cppA single header-only C++ library for least squares fitting.
Stars: ✭ 46 (+48.39%)
Text-AnalysisExplaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Stars: ✭ 48 (+54.84%)
descentFirst-order optimization tools
Stars: ✭ 23 (-25.81%)
ML-Optimizers-JAXToy implementations of some popular ML optimizers using Python/JAX
Stars: ✭ 37 (+19.35%)
Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
Stars: ✭ 63 (+103.23%)
models-by-exampleBy-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Stars: ✭ 43 (+38.71%)
Deep-Learning-CourseraProjects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Stars: ✭ 123 (+296.77%)
fmin adamMatlab implementation of the Adam stochastic gradient descent optimisation algorithm
Stars: ✭ 38 (+22.58%)
ML-MCUCode for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
Stars: ✭ 28 (-9.68%)
pydata-london-2018Slides and notebooks for my tutorial at PyData London 2018
Stars: ✭ 22 (-29.03%)
GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
Stars: ✭ 50 (+61.29%)
soptsopt:A simple python optimization library
Stars: ✭ 42 (+35.48%)
RegressionMultiple Regression Package for PHP
Stars: ✭ 88 (+183.87%)
sgdAn R package for large scale estimation with stochastic gradient descent
Stars: ✭ 55 (+77.42%)
machine learning courseArtificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
Stars: ✭ 47 (+51.61%)
Mlbasic深度学习常用优化方法详解
Stars: ✭ 222 (+616.13%)
Far HoGradient based hyperparameter optimization & meta-learning package for TensorFlow
Stars: ✭ 161 (+419.35%)
Ml CourseStarter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Stars: ✭ 154 (+396.77%)
BackpropHeterogeneous automatic differentiation ("backpropagation") in Haskell
Stars: ✭ 154 (+396.77%)
NmflibraryMATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
Stars: ✭ 153 (+393.55%)
Raytracer.jlDifferentiable RayTracing in Julia
Stars: ✭ 110 (+254.84%)
Neural TangentsFast and Easy Infinite Neural Networks in Python
Stars: ✭ 1,357 (+4277.42%)
Machine Learning NumpyGathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
Stars: ✭ 90 (+190.32%)