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The Top 23 Neural Network Optimization Open Source Projects

Open source projects categorized as Neural Network Optimization
Categories > Machine Learning > Neural Network
Categories > Software Performance > Optimization
Pennylane ⭐ 2,022
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
dependent packages 54total releases 46most recent commit 3 months agopypi PennyLane} Downloads
Geneticalgorithmpython ⭐ 1,564
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
dependent packages 8total releases 57most recent commit 4 months agopypi pygad} Downloads
Elephas ⭐ 1,548
Distributed Deep learning with Keras & Spark
total releases 2most recent commit 2 years ago
Hyperlearn ⭐ 1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
most recent commit 2 years ago
Beautifulalgorithms.jl ⭐ 1,281
Concise and beautiful algorithms written in Julia
most recent commit 4 months ago
Owl ⭐ 1,170
Owl - OCaml Scientific Computing @ https://ocaml.xyz
most recent commit 25 days ago
Evotorch ⭐ 941
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
dependent packages 1total releases 9most recent commit 3 months agopypi evotorch} Downloads
Test Tube ⭐ 719
Python library to easily log experiments and parallelize hyperparameter search for neural networks
dependent packages 17total releases 64most recent commit 2 years agopypi test-tube} Downloads
Hyperparameter_hunter ⭐ 635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
total releases 16most recent commit 3 years ago
Mica ⭐ 409
MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]
most recent commit 8 months ago
One ⭐ 374
On-device Neural Engine
total releases 43most recent commit 3 months ago
Optnet ⭐ 321
OptNet: Differentiable Optimization as a Layer in Neural Networks
most recent commit 4 years ago
Deeplearning.ai Notes ⭐ 271
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
most recent commit 3 years ago
Componentarrays.jl ⭐ 258
Arrays with arbitrarily nested named components.
most recent commit 4 months ago
Omlt ⭐ 219
Represent trained machine learning models as Pyomo optimization formulations
dependent packages 1total releases 7most recent commit 4 months agopypi omlt} Downloads
Neuralverification.jl ⭐ 215
Methods to soundly verify deep neural networks
most recent commit 3 months ago
Learningx ⭐ 213
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
most recent commit 3 years ago
Neuralgenetic ⭐ 201
Building and training artificial neural networks (regression or classification) using the genetic algorithm.
most recent commit 10 months ago
Auptimizer ⭐ 195
An automatic ML model optimization tool.
total releases 7most recent commit a year ago
Optimistix ⭐ 185
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
most recent commit 3 months ago
Adcme.jl ⭐ 158
Automatic Differentiation Library for Computational and Mathematical Engineering
most recent commit 3 years ago
Quantum Neural Networks ⭐ 156
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.
most recent commit 4 years ago
Adatune ⭐ 144
Gradient based Hyperparameter Tuning library in PyTorch
most recent commit 4 years ago
The 6 Most Depended On Neural Network Optimization Open Source Projects
Test Tube ⭐ 719
Python library to easily log experiments and parallelize hyperparameter search for neural networks
dependent packages 17total releases 64latest release December 01, 2019most recent commit 2 years agopypi test-tube} Downloads
Pybnn ⭐ 85
Bayesian neural network package
dependent packages 2total releases 3latest release February 08, 2019most recent commit 3 years agopypi pybnn} Downloads
Omlt ⭐ 219
Represent trained machine learning models as Pyomo optimization formulations
dependent packages 1total releases 7latest release February 08, 2022most recent commit 4 months agopypi omlt} Downloads
Evotorch ⭐ 941
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
dependent packages 1total releases 9latest release November 02, 2023most recent commit 3 months agopypi evotorch} Downloads
The 10 Latest Releases In Neural Network Optimization Open Source Projects
Evotorch ⭐ 941
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
dependent packages 1total releases 9latest release November 02, 2023most recent commit 3 months agopypi evotorch} Downloads
One ⭐ 374
On-device Neural Engine
total releases 43latest release September 22, 2023most recent commit 3 months ago
Lava Optimization ⭐ 47
Neuromorphic mathematical optimization with Lava
total releases 5latest release November 04, 2022most recent commit 3 months ago
Fedsim ⭐ 5
A generic Federated Learning simulator!
total releases 24latest release July 05, 2022most recent commit 2 years ago
Summit ⭐ 92
Optimising chemical reactions using machine learning
total releases 14latest release April 25, 2022most recent commit 9 months ago
Omlt ⭐ 219
Represent trained machine learning models as Pyomo optimization formulations
dependent packages 1total releases 7latest release February 08, 2022most recent commit 4 months agopypi omlt} Downloads
Optiml ⭐ 7
Optimizers for/and sklearn compatible Machine Learning models
total releases 31latest release July 13, 2021most recent commit a year ago
Tensorflow Riemopt ⭐ 88
A library for optimization on Riemannian manifolds
total releases 3latest release July 07, 2021most recent commit a year ago
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