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gradient-descent
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Fast and Easy Infinite Neural Networks in Python
kernel
neural-networks
gradient-descent
bayesian-inference
gaussian-processes
bayesian-networks
deep-networks
gradient-flow
jax
infinite-networks
training-dynamics
neural-tangents
kernel-computation
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Jun 29, 2021 - Jupyter Notebook
a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)
c-plus-plus
newton
cpp
tensorflow
optimization
matlab
solver
cpp14
eigen
mathematics
cpp11
mistakes
gradient-descent
optim
optimization-tools
solvers
optimization-algorithms
optimisation
gradient-computation
bfgs
lbfgs
numerical-optimization-methods
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May 23, 2021 - C++
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
newton
cpp
optimization
eigen
openmp
cpp11
evolutionary-algorithms
armadillo
gradient-descent
optim
differential-evolution
optimization-algorithms
particle-swarm-optimization
bfgs
lbfgs
openmp-parallelization
numerical-optimization-methods
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Sep 14, 2020 - C++
breandan
commented
Oct 25, 2020
Debugging Kotlin∇ code within IntelliJ IDEA can be somewhat cumbersome due to the functional API structure (lots of deeply-nested stack traces and context switching). To facilitate more user-friendly debugging, we should add support for visual debugging by exposing Kaliningraph’s built-in graph visualization capabilities. For example, the use
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
machine-learning
visual-studio
ai
csharp
neural-network
cuda
cnn
supervised-learning
gpu-acceleration
netstandard
convolutional-neural-networks
gradient-descent
net-framework
backpropagation-algorithm
classification-algorithims
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Feb 3, 2021 - C#
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
data-science
machine-learning
tutorial
deep-learning
sentiment-analysis
neural-network
numpy
scikit-learn
keras
semicolon
lstm
rnn
matplotlib
convolutional-neural-networks
perceptron
gradient-descent
cnn-keras
scikit
pandas-tutorial
count-vectorizer
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Sep 16, 2020 - Jupyter Notebook
The simplest form of an artificial neural network explained and demonstrated.
golang
machine-learning
tutorial
artificial-intelligence
artificial-neural-networks
gradient-descent
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May 31, 2020 - Go
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
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Aug 27, 2018 - Python
Image morphing without reference points by applying warp maps and optimizing over them.
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Jan 11, 2021 - Python
Implementing Multiple Layer Neural Network from Scratch
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Apr 14, 2016 - Python
Six snippets of code that made deep learning what it is today.
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Oct 10, 2019 - Jupyter Notebook
👩🏻⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
visualization
python
gradient-descent
ridge-regression
statistical-models
epidemic-model
coronavirus
covid-19
seir-model
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Feb 23, 2020 - Jupyter Notebook
python
express
deep-learning
numpy
sklearn
exploratory-data-analysis
machine-learning-algorithms
plotly
keras
regression
pandas
classification
gradient-descent
cnn-keras
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Jul 25, 2021 - Jupyter Notebook
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
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Mar 24, 2020 - Jupyter Notebook
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
matlab
machine-learning-algorithms
bigdata
matrix-factorization
constrained-optimization
data-analysis
robust-optimization
gradient-descent
matlab-toolbox
clustering-algorithm
optimization-algorithms
nmf
online-learning
stochastic-optimizers
stochastic-gradient-descent
nonnegativity-constraints
orthogonal
probabilistic-matrix-factorization
nonnegative-matrix-factorization
sparse-representations
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Oct 14, 2020 - MATLAB
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
machine-learning
neural-network
clustering
svm
linear-regression
pca
classification
recommender-system
regularization
gradient-descent
k-means
anomalydetection
principal-component-analysis
learning-curve
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Apr 11, 2021 - R
Heterogeneous automatic differentiation ("backpropagation") in Haskell
deep-learning
neural-network
graph
automatic-differentiation
gradient-descent
backpropagation
backprop
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Oct 25, 2020 - Haskell
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
machine-learning
algorithm
deep-learning
static-analysis
linear-algebra
probability
mathematics
gradient-descent
approximation-algorithms
machine-learning-mathematics
deep-learning-mathematics
advanced-probability
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Aug 11, 2017
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
python
machine-learning
clustering
linear-regression
regression
neural-networks
supervised-learning
pca
classification
dimensionality-reduction
logistic-regression
recommender-system
gradient-descent
support-vector-machines
backpropagation
anomaly-detection
unsupervised-machine-learning
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Jan 10, 2019 - Jupyter Notebook
Differentiable RayTracing in Julia
machine-learning
optimization
julia
ray-tracer
raytracer
gradient-descent
gpu-support
mesh-rendering
differentiable-programming
inverse-rendering
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Jul 8, 2021 - Julia
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
deep-neural-networks
ai
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tensorflow
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jupyter-notebook
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matplotlib
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backpropagation-learning-algorithm
music-generation
backpropagation
keras-neural-networks
poetry-generator
numpy-tutorial
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cnn-for-visual-recognition
deeplearning-ai
cnn-classification
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Sep 8, 2018 - Jupyter Notebook
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
monte-carlo
machine-learning-algorithms
gradient-descent
mcmc
evolution-strategies
stock-market-monte-carlo
deep-learning-scratch
feed-forward-scratch
rnn-scratch
cnn-scratch
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Jun 23, 2019 - Jupyter Notebook
Some experiments about Machine Learning
machine-learning
classification
gradient-descent
frequent-itemset-mining
regression-models
chinese-word-segmentation
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Nov 16, 2020 - Python
Multiple Regression Package for PHP
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Sep 22, 2018 - PHP
Lesson material on data science and machine learning topics/concepts
learning
data-science
machine-learning
statistics
sql
deep-learning
numpy
linear-regression
pandas
data-visualization
ipynb
gradient-descent
neural
statistical-distributions
series-models
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May 27, 2021 - Jupyter Notebook
My workshop on machine learning using python language to implement different algorithms
python
machine-learning
workshop
deep-learning
numpy
scikit-learn
keras
dropout
batch-normalization
neural-networks
matplotlib
convolutional-neural-networks
gradient-descent
backpropagation
optimization-algorithms
softmax
machine-learning-workshop
linear-classification
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Jan 24, 2020 - Jupyter Notebook
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Jun 2, 2021 - Python
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Dec 28, 2017 - JavaScript
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In operations_broadcast_test.go there are some tests that are not yet filled in. The point is to test that broadcasting works for different shapes. The semantics of broadcast probably isn't clear, so please do send me a message for anything.
This is a good first issue for anyone looking to get interested