An open API service providing repository metadata for many open source software ecosystems.

Topic: "optimizers"

labmlai/annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Language: Python - Size: 147 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 59,995 - Forks: 6,067

lucidrains/lion-pytorch

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

Language: Python - Size: 216 KB - Last synced at: 13 days ago - Pushed at: 5 months ago - Stars: 2,118 - Forks: 53

elixir-nx/axon

Nx-powered Neural Networks

Language: Elixir - Size: 135 MB - Last synced at: 13 days ago - Pushed at: about 2 months ago - Stars: 1,590 - Forks: 109

gugarosa/opytimizer

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

Language: Python - Size: 2.05 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 614 - Forks: 42

Yonghongwei/Gradient-Centralization

A New Optimization Technique for Deep Neural Networks

Language: Python - Size: 558 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 527 - Forks: 79

CyberZHG/keras-radam 📦

RAdam implemented in Keras & TensorFlow

Language: Python - Size: 54.7 KB - Last synced at: 2 days ago - Pushed at: about 3 years ago - Stars: 325 - Forks: 46

OverLordGoldDragon/keras-adamw

Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers

Language: Python - Size: 145 KB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 167 - Forks: 25

palle-k/DL4S

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

Language: Swift - Size: 19.5 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 107 - Forks: 13

Rishit-dagli/Gradient-Centralization-TensorFlow

Instantly improve your training performance of TensorFlow models with just 2 lines of code!

Language: Python - Size: 769 KB - Last synced at: 15 days ago - Pushed at: about 3 years ago - Stars: 106 - Forks: 22

clovaai/frostnet

FrostNet: Towards Quantization-Aware Network Architecture Search

Language: Python - Size: 505 KB - Last synced at: 16 days ago - Pushed at: 12 months ago - Stars: 105 - Forks: 18

lucidrains/adam-atan2-pytorch

Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch

Language: Python - Size: 429 KB - Last synced at: 14 days ago - Pushed at: 5 months ago - Stars: 103 - Forks: 1

decile-team/submodlib

Summarize Massive Datasets using Submodular Optimization

Language: Jupyter Notebook - Size: 28.1 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 97 - Forks: 39

warner-benjamin/optimi

Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers

Language: Python - Size: 764 KB - Last synced at: 12 days ago - Pushed at: 9 months ago - Stars: 89 - Forks: 3

usef-kh/fer

Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"

Language: Jupyter Notebook - Size: 550 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 89 - Forks: 33

hfxunlp/transformer 📦

Neutron: A pytorch based implementation of Transformer and its variants.

Language: Python - Size: 887 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 63 - Forks: 11

LoganBooker/prodigy-plus-schedule-free

Prodigy and ScheduleFree, together at last.

Language: Python - Size: 304 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 51 - Forks: 4

ProudElm/solaredgeoptimizers

Intergration to get optimizers information from the SolarEdge portal

Language: Python - Size: 56.6 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 51 - Forks: 15

ivallesp/awesome-optimizers

Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)

Language: Jupyter Notebook - Size: 35.9 MB - Last synced at: 11 days ago - Pushed at: about 5 years ago - Stars: 50 - Forks: 11

CyberZHG/keras-lookahead 📦

Lookahead mechanism for optimizers in Keras.

Language: Python - Size: 31.3 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 49 - Forks: 9

shreyansh26/ML-Optimizers-JAX

Toy implementations of some popular ML optimizers using Python/JAX

Language: Python - Size: 10.7 KB - Last synced at: 11 days ago - Pushed at: almost 4 years ago - Stars: 44 - Forks: 2

nestordemeure/flaxOptimizers

A collection of optimizers, some arcane others well known, for Flax.

Language: Python - Size: 59.6 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 28 - Forks: 1

ShivamShrirao/dnn_from_scratch

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Language: Python - Size: 18.4 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 26 - Forks: 4

sail-sg/optim4rl

Optim4RL is a Jax framework of learning to optimize for reinforcement learning.

Language: Python - Size: 129 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 24 - Forks: 2

devzhk/cgds-package

Package for CGD and ACGD optimizers

Language: Python - Size: 50.8 KB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 4

SamsungSAILMontreal/nino

Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]

Language: Python - Size: 58.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 18 - Forks: 4

harshalmittal4/Hypergradient_variants

Improved Hypergradient optimizers for ML, providing better generalization and faster convergence.

Language: Jupyter Notebook - Size: 104 MB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 0

chanzer0/NBA-DFS-Tools

A set of NBA optimizers and GPP tools to help you win daily fantasy sports

Language: Python - Size: 1.63 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 15 - Forks: 10

tianshijing/Awesome-Optimizers

This repository is a meticulously assembled anthology of optimization algorithms, meticulously implemented in PyTorch, designed to cater to the diverse needs of the machine learning research community.

Language: Jupyter Notebook - Size: 6.42 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 10 - Forks: 3

OrigamiDream/lion-tf

Lion - EvoLved Sign Momentum w/ New Optimizer API in TensorFlow 2.11+

Language: Python - Size: 4.88 KB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 1

dmeoli/optiml

Optimizers for/and sklearn compatible Machine Learning models

Language: Python - Size: 483 MB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 4

seungjaeryanlee/awesome-optimizers

A curated list of optimizers for machine learning.

Size: 4.88 KB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

AqwamCreates/DataPredict

Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains Over 40 Models!

Language: Lua - Size: 18.8 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 7 - Forks: 2

The-Swarm-Corporation/MultiModelOptimizer

MultiModelOptimizer: A Hierarchical Parameter Synchronization Approach for Joint Training of Multiple Transformer Models

Language: Python - Size: 469 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 0

plusminuschirag/Optimizers-Visualizations

A Repository to Visualize the training of Linear Model by optimizers such as SGD, Adam, RMSProp, AdamW, ASMGrad etc

Language: Jupyter Notebook - Size: 5.59 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

Kockiee/Kockie-Optimizer-Python

Aplicação Windows desenvolvida por mim para otimização tanto do sistema como de certos jogos

Language: Python - Size: 52.4 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 12

inikishev/torchzero

Modular optimization library for PyTorch. I changed the API a lot and that will soon be pushed here💀

Language: Python - Size: 1.03 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3 - Forks: 0

bocb-ai/bocb-ai.github.io

Official project of BOCB (A Decade’s Battle on the Bias of Vision Backbone and Optimizer)

Language: HTML - Size: 23.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

dzonimn/Zoolia.jl

Julia implementations of various animal-inspired optimizers

Language: Julia - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

xin-pu/ML-Sharp

ML with C#

Language: C# - Size: 1.42 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

Raffaelbdl/hyperbolic-nn-haiku

dm-haiku implementation of hyperbolic neural networks

Language: Python - Size: 9.04 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

avnlp/hyperparameter-tuning

Effect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance

Language: Python - Size: 4.59 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 0

tensor-fusion/sophia-jax

JAX implementation of 'Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training'

Language: Python - Size: 259 KB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

lessw2020/QuantFour_AdamW_Cuda

Fused 4bit AdamW in Cuda

Language: Python - Size: 228 KB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

EpicDima/Optimizers

This is an application for showing how optimization algorithms work

Language: Python - Size: 190 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

AqwamCreates/DataPredict-Neural

PyTorch-like Deep Learning Library (For Roblox And Pure Lua).

Language: Lua - Size: 10.6 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

Arunprakash-A/ML-DL-LLM-Animations

Repo for all animations created for the ML, DL and LLM course

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

GameMaximizer/GameMaximizer

This exe file give you up 50+ FPS in games!

Language: Batchfile - Size: 1010 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

sozelfist/annotated_deep_learning_paper_implementations Fork of labmlai/annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Language: Python - Size: 146 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

spsingh37/Image-classification

This project explores image classification on the PROPS Classification Dataset. It includes K-Nearest Neighbors, Support Vector Machine, and Softmax classifiers, and two-layer and multi-layer neural networks. The goal is to build a machine learning pipeline, experiment with optimizers, and evaluate model performance.

Language: Jupyter Notebook - Size: 15.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

dopestcardi/cardis-optimizer

Cardis Optimizer is a simple but complex optimizer that will have your pc running better in minutes!

Size: 167 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

matcor852/NeuralNet 📦

Polyvalent neural network

Language: C - Size: 36.1 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

EPSOFT/Embedding

Embedding

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

SameetAsadullah/Neural-Network-Implementation

Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

dunnkers/optimizers-sign-language 📦

Benchmarking Optimizers for Sign Language detection

Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

nisheethjaiswal/ROLLING-DOWN-A-CROWDED-VALLEY-OF-OPTIMIZERS-DEVELOPMENTS-FROM-SGD

Deep Learning Optimizers

Language: HTML - Size: 7.21 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

ndoll1998/lightgrad

Lightweight automatic differentiation library

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Jitensid/Numras

Language: Jupyter Notebook - Size: 104 KB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

greg9702/ivhd-cpu

Evaluating optimization algorithms in IVHD method (interactive visualization of high-dimensional data)

Language: C++ - Size: 9.28 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

DavidUlloa6310/optimizers

Simple implementations of most popular optimizers like Adam, RMSProp, Adagrad, and SGD. Optimizers benchmarked against MNIST, Cifar, and IMDB dataset as referenced in the Adam paper.

Language: Python - Size: 1.76 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Subhajit0210/Bank-Churn-Analysis-And-Modelling--ANN

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

reza-chehreghani/AI-Assignment-1-Optimization-SMOTE-DNN

Exploring Optimizers, Handling Imbalanced Datasets with SMOTE, and Building Classification Models Using Deep Neural Networks.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

neyudin/AdaptiveGNMethodEquations

Code to conduct experiments for the paper Adaptive Gauss-Newton Method for Solving Systems of Nonlinear Equations.

Language: Python - Size: 10.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

neyudin/AcceleratedGNMethodEquations

Code to conduct experiments for the paper Regularization and acceleration of Gauss-Newton method.

Language: Python - Size: 11.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Bayunova28/Transportation_Stock_Analysis

This repository contains about final project for bachelor degree

Language: Jupyter Notebook - Size: 391 MB - Last synced at: 16 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

sathishkumar67/Optimizer-Comparision

Testing out Schedule vs Schedule Free Optimizer

Language: Python - Size: 366 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

inikishev/image-descent

Pytorch library to test optimizers by visualizing how they descend on a your images. You can draw your own custom loss landscape and see what different optimizers do.

Language: Jupyter Notebook - Size: 40.6 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

robjsliwa/adventures_in_dspy

Learn DSPy framework by coding text adventure game

Language: Python - Size: 7.81 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

vishal815/Deep-Learing-notes

Welcome to the Deep Learning Notes repository! This collection of notes is designed to provide a deep understanding, intuition, and real-world implications of deep learning. Whether you're a beginner or preparing for exams and interviews, these comprehensive and colorful notes will be your go-to readme resource.

Size: 2.93 KB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

amkatrutsa/dl-opt

Tutorials on optimizers for deep neural networks

Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Joe-Khawand/loss-landscape Fork of tomgoldstein/loss-landscape

Uptodate fork for visualizing the loss landscape of neural nets

Language: Python - Size: 1.88 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mertsaru/Cognitive-GLVQ

Cognitive bias inspired GLVQ optimizers

Language: Jupyter Notebook - Size: 56.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mohrsalt/cifar10-ImageClassification-CNN

A project made for understanding how to construct CNN models from the very basics and how to choose various combinations of hyperparameters to improve accuracy of predictions

Language: Jupyter Notebook - Size: 9.67 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AaronThomasJoseph/DL-Projects

This GitHub repository contains the code used for CS-671: Introduction to Deep Learning course offered by IIT Mandi during the Even Semester of 2022. The repository includes the implementations of various deep learning algorithms and techniques covered in the course.

Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

vmad18/sophia

implementation of sophia (Second-Order cliPped stocHastic optimizAtion)

Language: Python - Size: 15.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Cabbagito/Convolutional-Neural-Networks-from-Scratch

Python Library for creating and training CNNs. Implemented from scratch.

Language: Python - Size: 17.7 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

EliaFantini/ZO-AdaMM-vs-FO-AdaMM-convergence-and-minima-shape-comparison Fork of OptML-KEC/optml-mini-project

Implementation and comparison of zero order vs first order method on the AdaMM (aka AMSGrad) optimizer: analysis of convergence rates and minima shape

Language: Jupyter Notebook - Size: 752 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

EliaFantini/RMSProp-and-AMSGrad-for-MNIST-image-classification

Implementation and comparison of SGD, SGD with momentum, RMSProp and AMSGrad optimizers on the Image classification task using MNIST dataset

Language: Python - Size: 417 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

KMoszczyc/Neural-Network-from-Scratch

Implementing Neural Network from scratch (MLP and CNN), purely in numpy with optimizers

Language: Python - Size: 15.8 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

TokyAxel/PGSimulator

An electrical grid simulator to calculate the least grid cost using optimizers from nevergrad package.

Language: Python - Size: 77.1 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

neyudin/ModifiedGNMethodEquations

Code to conduct experiments for the paper Modified Gauss-Newton method for solving a smooth system of nonlinear equations.

Language: Python - Size: 8.79 KB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

caped-crusader16/Classification-of-Citrus-Leaves-using-CNN-classifier

Our objective is Classification of Citrus Leaves Data using CNN classifier. Here, we are comparing performances of different optimizers and hyper-parameters on the basis of different metrics like Accuracy, Precision, Recall.

Language: Jupyter Notebook - Size: 991 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 3

hz-b/bcib

A bridge from call back to iterator Acronym: bluesky callback iterator bridge. Motivated that bluesky wants to iterate over plans while solvers typically use call backs

Language: Python - Size: 37.1 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

BasileiosKal/NeuralNet

Neural networks framework built from scratch on Python.

Language: Python - Size: 605 KB - Last synced at: 19 days ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

EndoYuuki/GraphNN

Graph Neural Network

Language: C++ - Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Related Topics
deep-learning 29 machine-learning 20 pytorch 14 neural-networks 11 optimization-algorithms 11 python 11 deep-neural-networks 11 optimization 10 tensorflow 9 neural-network 9 adam-optimizer 7 optimizer 7 artificial-intelligence 7 gradient-descent 6 jax 6 rmsprop 6 numpy 5 python3 5 ai 5 keras 5 transformer 5 convolutional-neural-networks 5 adam 5 adagrad 4 recurrent-neural-networks 4 sgd-momentum 4 activation-functions 4 reinforcement-learning 4 loss-functions 4 gan 4 cnn 3 sgd-optimizer 3 transformers 3 classification 3 gauss-newton-method 3 paper 3 amsgrad 3 nonlinear-equations 3 sgd 3 adabelief 2 momentum 2 attention 2 large-language-models 2 hyperparameter-tuning 2 radam 2 education 2 fps 2 fps-boost 2 fps-game 2 graph-neural-networks 2 reinforcement-learning-algorithms 2 transfer-learning 2 supervised-learning 2 roblox 2 lua-library 2 lua 2 deep-reinforcement-learning 2 tensor 2 autograd 2 nadam 2 metrics 2 long-short-term-memory 2 convolutional-neural-network 2 visualization 2 adamax 2 adadelta 2 optimization-technique 2 stochastic-optimization 2 gradient-centralization 2 mnist 2 optax 2 matplotlib 2 computer-vision 2 swift-machine-learning 1 pycharm-ide 1 two-layer-neural-network 1 adamw 1 pycharm 1 adamwr 1 learning-rate-multipliers 1 derivative-free-optimization 1 warm-restarts 1 constrained-optimization 1 convex-optimization 1 mean-squared-error 1 solaredge-api 1 duality 1 lagrangian-relaxation 1 nonlinear-optimization 1 nonsmooth-optimization 1 leaky-relu 1 submodular 1 jupyter-notebook 1 submodular-optimization 1 submodular-information-measures 1 numerical-optimization 1 submodular-functions 1 quadratic-programming 1 sklearn-compatible 1 svm 1