Gorgonia is a library that helps facilitate machine learning in Go.
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gradient-descent
Repositories 489
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
neural-network
pandas-tutorial
semicolon
scikit
perceptron
gradient-descent
keras
scikit-learn
matplotlib
numpy
machine-learning
count-vectorizer
deep-learning
convolutional-neural-networks
cnn-keras
sentiment-analysis
data-science
lstm
rnn
tutorial
Jupyter Notebook
Updated Jan 16, 2018
Implementing Multiple Layer Neural Network from Scratch
Python
Updated Apr 14, 2016
Six snippets of code that made deep learning what it is today.
Jupyter Notebook
Updated Sep 25, 2017
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
Python
Updated Aug 27, 2018
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support thr…
neural-network
convolutional-neural-networks
backpropagation-algorithm
gradient-descent
machine-learning
classification-algorithims
cnn
supervised-learning
ai
cuda
gpu-acceleration
csharp
netstandard
net-framework
visual-studio
C#
Updated Apr 15, 2019
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
optim
evolutionary-algorithms
differential-evolution
particle-swarm-optimization
bfgs
cpp
cpp11
lbfgs
optimization
optimization-algorithms
openmp
openmp-parallelization
armadillo
numerical-optimization-methods
gradient-descent
newton
C++
Updated Dec 1, 2018
R code for the assignments of Ng's Coursera machine learning course
machine-learning
learning-curve
pca
linear-regression
gradient-descent
svm
principal-component-analysis
clustering
neural-network
k-means
recommender-system
classification
regularization
anomalydetection
R
Updated Jul 12, 2018
深度学习常用优化方法详解
Python
Updated Jul 22, 2017
Heterogeneous automatic differentiation ("backpropagation") in Haskell
backprop
graph
backpropagation
deep-learning
neural-network
gradient-descent
automatic-differentiation
Haskell
Updated Apr 8, 2019
Multiple Regression Package for PHP
PHP
Updated Sep 22, 2018
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
neural-network
ai
matplotlib
numpy-tutorial
deep-learning
deep-neural-networks
backpropagation
backpropagation-learning-algorithm
gradient-descent
deeplearning-ai
jupyter-notebook
rnn
keras
keras-neural-networks
tensorflow
cnn-classification
cnn-for-visual-recognition
lstm-neural-networks
poetry-generator
music-generation
Jupyter Notebook
Updated Sep 8, 2018
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the intern…
deep-learning
machine-learning
algorithm
mathematics
linear-algebra
static-analysis
probability
gradient-descent
machine-learning-mathematics
deep-learning-mathematics
approximation-algorithms
advanced-probability
Updated Aug 11, 2017
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
Jupyter Notebook
Updated Feb 9, 2019
Python
Updated Apr 23, 2018
JavaScript
Updated Dec 28, 2017
simple machine learning demo
JavaScript
Updated Dec 5, 2017
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
machine-learning
regression
classification
logistic-regression
neural-networks
support-vector-machines
clustering
dimensionality-reduction
pca
recommender-system
anomaly-detection
python
linear-regression
supervised-learning
unsupervised-machine-learning
gradient-descent
backpropagation
Jupyter Notebook
Updated Jan 10, 2019
An R package for large scale estimation with stochastic gradient descent
C++
Updated Oct 11, 2018
Final Project of the Udacity AI Programming with Python Nanodegree
python
ai
deeplearning
neural-networks
image-classification
image-recognition
udacity
udacity-nanodegree
udacity-ai-nanodegree
pytorch
pytorch-implmention
python3
numpy
matplotlib
gradient-descent
backpropagation-learning-algorithm
perceptron-learning-algorithm
Jupyter Notebook
Updated Aug 16, 2018
MATLAB library for non-negative matrix factorization (NMF): Version 1.5.0
nmf
optimization-algorithms
machine-learning-algorithms
factorization
matrix-factorization
big-data
data-analysis
constrained-optimization
gradient-descent
matlab
matlab-toolbox
online-learning
stochastic-optimizers
stochastic-gradient-descent
robust-optimization
bigdata
sparse-representations
orthogonal
nonnegative-matrix-factorization
nonnegativity-constraints
MATLAB
Updated Apr 22, 2019
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-…
machine-learning-algorithms
gradient-descent
evolution-strategies
stock-market-monte-carlo
monte-carlo
mcmc
deep-learning-scratch
feed-forward-scratch
rnn-scratch
cnn-scratch
Jupyter Notebook
Updated Apr 18, 2019
Some experiments about Machine Learning
machine-learning
frequent-itemset-mining
classification
regression-models
gradient-descent
chinese-word-segmentation
Python
Updated Dec 10, 2018
My workshop on machine learning using python language to implement different algorithms
machine-learning
numpy
matplotlib
scikit-learn
linear-classification
workshop
machine-learning-workshop
softmax
gradient-descent
neural-networks
backpropagation
dropout
batch-normalization
optimization-algorithms
deep-learning
convolutional-neural-networks
keras
python
Jupyter Notebook
Updated Apr 28, 2019
An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From g…
python
tensorflow-tutorials
tensorflow
neural-networks
image-classification
dnn
convolutional-neural-networks
image-classifier
gradient-descent
bvs
batman
deeplearning
cnn-architecture
cnn-model
cnn-tensorflow
cnn-classifier
tensorflow-models
Python
Updated Oct 24, 2018
Swift Tensor Extensions for Machine-learning
Swift
Updated Jan 26, 2017
Variational Inference in Gaussian Mixture Model
machine-learning
probabilistic-programming
probabilistic-models
tensorflow
edward
gradient-descent
coordinate-descent
gaussian-mixture-models
Python
Updated Jun 22, 2017
Linear regression implemented in Ruby.
Ruby
Updated Jan 2, 2019
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
gibbs-sampling
expectation-maximization
web-scraping
lda
latent-dirichlet-allocation
text-mining
text-prediction
skipgram
neural-network
textual-analysis
gradient-descent
python
machine-learning
word-embeddings
word-embedding
word2vec
scraping-websites
text-processing
lstm
long-short-term-memory-models
Jupyter Notebook
Updated Sep 21, 2017
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (…
machine-learning
machine-learning-algorithms
convex-optimization
lbfgs-algorithm
sgd
logistic-regression
support-vector-machines
gradient-descent
optimization-algorithms
jensen
tron
lbfgs
regularization
C++
Updated Oct 11, 2018

