Topic: "nesterov-accelerated-sgd"
parasdahal/deepnet
Educational deep learning library in plain Numpy.
Language: Python - Size: 40 KB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 322 - Forks: 83
aromanro/MachineLearning
From linear regression towards neural networks...
Language: C++ - Size: 250 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 24 - Forks: 0
harshraj11584/Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Language: Python - Size: 58.6 KB - Last synced at: 11 months ago - Pushed at: about 6 years ago - Stars: 22 - Forks: 6
Arko98/Gradient-Descent-Algorithms
A collection of various gradient descent algorithms implemented in Python from scratch
Language: Python - Size: 1.02 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 19 - Forks: 12
skolai/nag-gs
NAG-GS: Nesterov Accelerated Gradients with Gauss-Siedel splitting
Language: Python - Size: 459 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1
falaktheoptimist/gradient_descent_optimizers
Hands on implementation of gradient descent based optimizers in raw python
Language: Jupyter Notebook - Size: 4.05 MB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 1
ninasiam/ASCPD
ASCPD: an accelerated algorithm for CPD
Language: C++ - Size: 16.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1
alessandrocuda/ISANet
ISANet is a Neural Network Library.
Language: Python - Size: 5.77 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
jElhamm/Overview-Gradient-Descent-Optimization-By-Sebastian-Ruder
"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
Language: Jupyter Notebook - Size: 7.57 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0
bhuvansun/primal-dual-optimization
Primal-Dual algorithm for smooth regularization of non-smooth optimization functions
Language: MATLAB - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
partoftheorigin/singular_value_decomposition
Implementation of SVD without using package.
Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0
opeajibuwa/SVM-Implementation-from-Scratch
SVM algorithms implementation from scratch for AI539 class project
Language: Python - Size: 16.9 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
dilettagoglia/impl-NN-from-scratch
🧠Implementation of a Neural Network from scratch in Python for the Machine Learning Course.
Language: Python - Size: 16.4 MB - Last synced at: 9 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
goessl/Optimization
Package used for mathematical optimization.
Language: Java - Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
WilliamZhang20/ML-in-JAX
Experimenting with various ML algorithms in JAX
Language: Python - Size: 27.3 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
aehabV/Building-Gradient-Descent-Methods-from-Scratch
Implemented optimization algorithms, including Momentum, AdaGrad, RMSProp, and Adam, from scratch using only NumPy in Python. Implemented the Broyden-Fletcher-Goldfarb-Shanno (BFGS) optimizer and conducted a comparative analysis of its results with those obtained using Adam.
Language: Jupyter Notebook - Size: 4.77 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
siddikayyappa/Deep-Learning-Gradient-Descent-Variants
This repository contains various tools of machine learning like the GRADIENT DESCENT and others, implemented from scratch using packages like numPy, matplotlib, pandas
Language: Jupyter Notebook - Size: 8.4 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
vamsimalineni96/Back_Propagation_from_scratch
Assignment submission for the course Fundamentals of Deep Learning (CS6910) in the Spring 2022 Semester, under Prof. Mitesh Khapra
Language: Jupyter Notebook - Size: 466 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
