42 results found Sort:

gorgonia
gorgonia gorgonia
431
5.4k
apache-2.0
194
Gorgonia is a library that helps facilitate machine learning in Go.
go golang gorgonia deeplearning deep-learning hacktoberfest neural-network differentiation gradient-descent machine-learning computation-graph graph-computation deep-neural-networks artificial-intelligence symbolic-differentiation automatic-differentiation
Created 2016-09-14
896 commits to master branch, last one 8 months ago
google
neural-tangents google
228
2.2k
apache-2.0
63
Fast and Easy Infinite Neural Networks in Python
jax kernel deep-networks gradient-flow neural-networks neural-tangents gradient-descent bayesian-networks infinite-networks training-dynamics bayesian-inference gaussian-processes kernel-computation
Created 2019-04-08
650 commits to main branch, last one 3 months ago
kthohr
optim kthohr
131
786
apache-2.0
38
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
cpp bfgs cpp11 eigen lbfgs optim eigen3 newton openmp armadillo optimization gradient-descent differential-evolution openmp-parallelization evolutionary-algorithms optimization-algorithms automatic-differentiation particle-swarm-optimization numerical-optimization-methods
Created 2017-06-14
307 commits to master branch, last one about a month ago
Sergio0694
NeuralNetwork.NET Sergio0694
84
539
gpl-3.0
36
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
ai cnn cuda csharp netstandard net-framework visual-studio neural-network gpu-acceleration gradient-descent machine-learning supervised-learning backpropagation-algorithm classification-algorithims convolutional-neural-networks
Created 2016-10-28
803 commits to master branch, last one 3 years ago
breandan
kotlingrad breandan
21
513
apache-2.0
20
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
types kotlin chinese optimization shape-safety linear-algebra message-passing computer-algebra gradient-descent array-programming algebraic-data-types multi-stage-programming symbolic-differentiation automatic-differentiation differentiable-programming
Created 2018-10-19
1,669 commits to master branch, last one about a year ago
volotat
DiffMorph volotat
52
457
mit
12
Image morphing without reference points by applying warp maps and optimizing over them.
warp morph morphing warp-map image-morphing warp-operation gradient-descent
Created 2021-01-02
65 commits to master branch, last one about a year ago
hiroyuki-kasai
NMFLibrary hiroyuki-kasai
95
294
mit
17
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
nmf divergence orthogonal data-analysis matlab-toolbox online-learning gradient-descent robust-optimization clustering-algorithm matrix-factorization stochastic-optimizers sparse-representations optimization-algorithms constrained-optimization nonnegativity-constraints nonnegative-matrix-factorization probabilistic-matrix-factorization
Created 2017-04-04
149 commits to master branch, last one about a year ago
Suji04
ML_from_Scratch Suji04
223
251
unknown
6
Implementation of basic ML algorithms from scratch in python...
python knn-algorithm youtube-channel gradient-descent linear-regression k-means-clustering logistic-regression decision-tree-classifier decision-tree-regression stochastic-gradient-descent
Created 2019-03-11
36 commits to master branch, last one 3 years ago
YiranJing
Coronavirus-Epidemic-COVID-19 YiranJing
69
243
unknown
17
👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
python covid-19 seir-model coronavirus visualization epidemic-model gradient-descent ridge-regression statistical-models
Created 2020-01-25
67 commits to master branch, last one 4 years ago
zeke-xie
deep-learning-dynamics-paper-list zeke-xie
22
232
mit
14
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and sto...
optimization deep-learning gradient-descent machine-learning
Created 2022-06-22
38 commits to main branch, last one 2 months ago
quocviethere
Coursera-Machine-Learning-Specialization quocviethere
150
220
unknown
3
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
xgboost tensorflow decision-trees tree-ensembles gradient-descent linear-regression logistic-regression recommender-systems supervised-learning artificial-neural-network
Created 2021-12-24
127 commits to main branch, last one about a year ago
Ryota-Kawamura
Mathematics-for-Machine-Learning-and-Data-Science-Specialization Ryota-Kawamura
105
204
unknown
4
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...
calculus mathematics probability determinants linear-algebra linear-equation gradient-descent machine-learning linear-regression bayesian-statistics mathematical-optimization eigenvalues-and-eigenvectors
Created 2023-05-02
88 commits to main branch, last one 11 months ago
snrazavi
Machine_Learning_2018 snrazavi
102
203
unknown
30
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
pca python clustering regression classification backpropagation neural-networks gradient-descent machine-learning anomaly-detection linear-regression recommender-system logistic-regression supervised-learning support-vector-machines dimensionality-reduction unsupervised-machine-learning
Created 2018-10-16
94 commits to master branch, last one 2 years ago
cvanaret
Uno cvanaret
14
201
mit
14
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive...
cpp optimization newton-method gradient-descent local-optimization optimization-solver optimization-methods interior-point-method nonlinear-programming quadratic-programming nonconvex-optimization nonlinear-optimization numerical-optimization continuous-optimization optimization-algorithms constrained-optimization mathematical-programming mathematical-optimization nonlinear-programming-algorithms sequential-quadratic-programming
Created 2021-09-29
1,357 commits to main branch, last one 5 hours ago
mstksg
backprop mstksg
22
177
bsd-3-clause
17
Heterogeneous automatic differentiation ("backpropagation") in Haskell
graph backprop deep-learning neural-network backpropagation gradient-descent automatic-differentiation
Created 2017-02-22
458 commits to master branch, last one 11 months ago
rojaAchary
30-Days-of-ML-Kaggle rojaAchary
59
175
mit
4
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
numpy kaggle pandas python project python3 xgboost hands-on programming data-science optimization scikit-learn decision-trees gradient-descent jupyter-notebook machine-learning
Created 2021-08-15
39 commits to main branch, last one 2 years ago
faridcher
ml-course faridcher
150
167
unknown
13
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
pca svm k-means clustering classification learning-curve neural-network regularization anomalydetection gradient-descent machine-learning linear-regression recommender-system principal-component-analysis
Created 2016-04-15
46 commits to master branch, last one 25 days ago
avik-pal
RayTracer.jl avik-pal
12
148
mit
7
Differentiable RayTracing in Julia
julia raytracer ray-tracer optimization mesh-rendering gradient-descent machine-learning inverse-rendering differentiable-programming
Created 2019-03-17
176 commits to master branch, last one 2 years ago
computational-imaging
neural-holography computational-imaging
44
147
other
11
Code and data for Neural Holography
holonet holography double-phase gerchberg-saxton gradient-descent camera-in-the-loop
Created 2020-10-12
2 commits to main branch, last one 3 years ago
MrGeislinger
flatiron-school-data-science-curriculum-resources MrGeislinger
137
143
unknown
9
Lesson material on data science and machine learning topics/concepts
sql numpy neural pandas learning statistics data-science deep-learning gradient-descent machine-learning linear-regression data-visualization statistical-distributions
Created 2019-04-01
548 commits to main branch, last one 3 years ago
hahnec
torchimize hahnec
7
128
gpl-3.0
6
numerical optimization in pytorch
pytorch parallel gauss-newton gradient-descent parallel-computing gauss-newton-method levenberg-marquardt levenberg-marquardt-algorithm
Created 2022-03-21
243 commits to master branch, last one about a month ago
Ameobea
neural-network-from-scratch Ameobea
11
121
unknown
6
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
rust simd wasm webassembly wasm-bindgen neural-network backpropagation neural-networks gradient-descent data-visualization neural-networks-from-scratch
Created 2021-07-29
28 commits to main branch, last one 2 years ago
RubixML
Sentiment RubixML
13
103
mit
6
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
php imdb php-ml tf-idf dataset tutorial deep-learning neural-network text-sentiment backpropagation example-project gradient-descent machine-learning sentiment-analysis text-classification php-machine-learning multi-layer-perceptron sentiment-classification machine-learning-tutorial natural-language-processing
Created 2018-12-09
57 commits to master branch, last one about a year ago
palle-k
DL4S palle-k
13
103
mit
5
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
swift tensor autograd optimizers derivatives deep-learning neural-networks gradient-descent machine-learning recurrent-networks deep-neural-networks swift-machine-learning automatic-differentiation recurrent-neural-networks convolutional-neural-networks
Created 2019-03-10
311 commits to master branch, last one 2 years ago
Rookfighter
least-squares-cpp Rookfighter
14
97
mit
7
A single header-only C++ library for least squares fitting.
header-only gauss-newton optimization least-squares gradient-descent levenberg-marquardt
Created 2018-05-23
246 commits to master branch, last one 11 months ago
shantanu1109
Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization shantanu1109
52
90
mit
1
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Lad...
xgboost tensorflow tree-ensemble regularization gradient-descent anomaly-detection kmeans-clustering linear-regression recommender-system logistic-regression reinforcement-learning artificial-neural-networks multiple-linear-regression supervised-machine-learning unsupervised-machine-learning
Created 2022-07-26
175 commits to main branch, last one about a year ago
agrawal-priyank
machine-learning-regression agrawal-priyank
68
86
unknown
3
Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
python coursera gradient-descent machine-learning ridge-regression linear-regression multiple-regression polynomial-regression house-price-prediction university-of-washington machine-learning-regression
Created 2017-04-29
41 commits to master branch, last one 6 years ago
chrisfosterelli
physical-gradient-descent chrisfosterelli
11
69
unknown
4
Code for https://fosterelli.co/executing-gradient-descent-on-the-earth
python visualization gradient-descent machine-learning
Created 2017-09-19
21 commits to master branch, last one 10 months ago
m-clark
models-by-example m-clark
16
67
unknown
3
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
pca rkhs lasso splines bayesian cox-model algorithms mixed-models zero-inflated neural-network gradient-descent machine-learning ridge-regression linear-regression gaussian-processes logistic-regression penalized-regression hamiltonian-monte-carlo expectation-maximization maximum-likelihood-estimation
Created 2020-11-01
95 commits to main branch, last one 3 years ago
Lucifier129
simple-machine-learning-demo Lucifier129
3
64
mit
6
simple machine learning demo
neural-network backpropagation gradient-descent machine-learning
Created 2017-11-17
26 commits to master branch, last one about a year ago