least-squares-cppA single header-only C++ library for least squares fitting.
Stars: ✭ 46 (-81.53%)
Text-AnalysisExplaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Stars: ✭ 48 (-80.72%)
descentFirst-order optimization tools
Stars: ✭ 23 (-90.76%)
ML-Optimizers-JAXToy implementations of some popular ML optimizers using Python/JAX
Stars: ✭ 37 (-85.14%)
Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
Stars: ✭ 63 (-74.7%)
models-by-exampleBy-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Stars: ✭ 43 (-82.73%)
Deep-Learning-CourseraProjects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Stars: ✭ 123 (-50.6%)
fmin adamMatlab implementation of the Adam stochastic gradient descent optimisation algorithm
Stars: ✭ 38 (-84.74%)
ML-MCUCode for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
Stars: ✭ 28 (-88.76%)
pydata-london-2018Slides and notebooks for my tutorial at PyData London 2018
Stars: ✭ 22 (-91.16%)
GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
Stars: ✭ 50 (-79.92%)
soptsopt:A simple python optimization library
Stars: ✭ 42 (-83.13%)
RegressionMultiple Regression Package for PHP
Stars: ✭ 88 (-64.66%)
sgdAn R package for large scale estimation with stochastic gradient descent
Stars: ✭ 55 (-77.91%)
machine learning courseArtificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
Stars: ✭ 47 (-81.12%)
Mlbasic深度学习常用优化方法详解
Stars: ✭ 222 (-10.84%)
Far HoGradient based hyperparameter optimization & meta-learning package for TensorFlow
Stars: ✭ 161 (-35.34%)
Ml CourseStarter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Stars: ✭ 154 (-38.15%)
BackpropHeterogeneous automatic differentiation ("backpropagation") in Haskell
Stars: ✭ 154 (-38.15%)
NmflibraryMATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
Stars: ✭ 153 (-38.55%)
Raytracer.jlDifferentiable RayTracing in Julia
Stars: ✭ 110 (-55.82%)
Neural TangentsFast and Easy Infinite Neural Networks in Python
Stars: ✭ 1,357 (+444.98%)
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 (-63.86%)
GmmVariational Inference in Gaussian Mixture Model
Stars: ✭ 31 (-87.55%)
Learning To Learn By Pytorch"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
Stars: ✭ 31 (-87.55%)
MindseyeNeural Networks in Java 8 with CuDNN and Aparapi
Stars: ✭ 8 (-96.79%)
Cppnumericalsolversa lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)
Stars: ✭ 638 (+156.22%)
GorgoniaGorgonia is a library that helps facilitate machine learning in Go.
Stars: ✭ 4,295 (+1624.9%)
OptimOptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Stars: ✭ 411 (+65.06%)
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 (+57.43%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+38.55%)
Ai Simplest NetworkThe simplest form of an artificial neural network explained and demonstrated.
Stars: ✭ 333 (+33.73%)
Pytorch Meta OptimizerA PyTorch implementation of Learning to learn by gradient descent by gradient descent
Stars: ✭ 275 (+10.44%)