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Search results for neural network optimization
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optimization
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36 search results found
Pennylane
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2,166
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Geneticalgorithmpython
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1,564
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Elephas
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1,548
Distributed Deep learning with Keras & Spark
Hyperlearn
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1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Beautifulalgorithms.jl
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1,281
Concise and beautiful algorithms written in Julia
Owl
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1,178
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Evotorch
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941
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Test Tube
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719
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Hyperparameter_hunter
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635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Mica
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409
MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]
One
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374
On-device Neural Engine
Optnet
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321
OptNet: Differentiable Optimization as a Layer in Neural Networks
Deeplearning.ai Notes
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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.
Componentarrays.jl
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258
Arrays with arbitrarily nested named components.
Omlt
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219
Represent trained machine learning models as Pyomo optimization formulations
Neuralverification.jl
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215
Methods to soundly verify deep neural networks
Learningx
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213
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Neuralgenetic
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201
Building and training artificial neural networks (regression or classification) using the genetic algorithm.
Auptimizer
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195
An automatic ML model optimization tool.
Optimistix
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185
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Adcme.jl
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158
Automatic Differentiation Library for Computational and Mathematical Engineering
Quantum Neural Networks
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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.
Adatune
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144
Gradient based Hyperparameter Tuning library in PyTorch
Ycml
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118
A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
Qmlt
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102
The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).
Summit
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92
Optimising chemical reactions using machine learning
Deep Learning Specialization Coursera
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92
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Tensorflow Riemopt
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88
A library for optimization on Riemannian manifolds
Nn Bayesian Optimization
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87
We use a modified neural network instead of Gaussian process for Bayesian optimization.
Pybnn
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85
Bayesian neural network package
Hyper Engine
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69
Python library for Bayesian hyper-parameters optimization
Awesome Nn Optimization
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65
Awesome list for Neural Network Optimization methods.
Paper End2end Dl
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53
📝 "End-to-end Deep Learning of Optimization Heuristics" (🥇 PACT'17 Best Paper)
Diffgrad
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51
diffGrad: An Optimization Method for Convolutional Neural Networks
Nn4topopt
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50
Code for "Neural Networks for Topology Optimization"
Lava Optimization
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47
Neuromorphic mathematical optimization with Lava
Opti_models
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38
PyTorch optimizations and benchmarking
Hyperopt Nnet
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37
Hyperparameter optimization for neural networks
Deep Learning Specialization Coursera
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36
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
Protograd.jl
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31
Deep learning 99% fat free
Complex Gated Recurrent Neural Networks
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30
Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, NeurIPS 2018
Morphological Reinflection
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30
Source code for the paper "Morphological Inflection Generation with Hard Monotonic Attention"
Dopt
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26
A numerical optimisation and deep learning framework for D.
Dnn_opt
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24
dnn_opt is a machine learning library to perform optimization and neural network training by using meta-heuristics with multi-core and GPU support
Event_representation_study
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21
Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
High Dim Es Rl
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19
Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
Dumbnet
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18
a no_std neural network
Neuralnetwork
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17
Very basic neural network implementation.
Loss Landscape Anim
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16
Create animations for the optimization trajectory of neural nets
End2end Job Shop Scheduling Cp
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16
An end to end reinforcement learning approach with a reinforcement learning environment modeled as a CP model
Dynmt Py
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16
Neural machine translation implementation using dynet's python bindings
Twostrangethings
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16
two strange things to do with neural nets
Geneticalgo_openaigymcartpole
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15
Implementation of Genetic Algorithm to balance inverted pendulum in OpenAI gym environment
Pacbayes Opt
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14
Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights
Fpovi
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13
Code for "Function Space Particle Optimization for Bayesian Neural Networks"
Porthamiltoniannn
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11
Port-Hamiltonian Approach to Neural Network Training
End To End Waveform Utterance Enhancement
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11
End-to-end waveform utterance enhancement for direct evaluation metrics optimization by fully convolutional neural networks (TASLP 2018)
Vs Net
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11
Variable splitting network for accelerated parallel MRI reconstruction
Ugr_tfg
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10
Hyperparameter optimization in Deep Neural Networks, In the context of EEG classification
Hypernomad
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10
A library for the hyperparameter optimization of deep neural networks
Flexibo
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10
FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks
Deepred
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10
Solving "Where's Waldo" with convolutional neural networks.
Dali Cython
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9
🍭 Dali in Python
Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization
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9
Short description for quick search
Beyond Gradient Descent
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9
Minimalist deep learning library with first and second-order optimization algorithms made for educational purpose
Library
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9
Paper reading list
Control_neuralode
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9
On the use of NeuralODEs as optimal control policies: I.O. Sandoval, P. Petsagkourakis, E. A. del Rio-Chanona, “Neural ODEs as Feedback Policies for Nonlinear Optimal Control” The 22nd World Congress of the International Federation of Automatic Control (IFAC 2023)
Introduction_to_deep_learning_coursera
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9
Intro to Deep Learning by National Research University Higher School of Economics
Computationalgraph
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8
Realization of computational graph as multilist in C with neural network implementation.
Coursera Deep Learning Specialization
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8
Andrew Ng(吴恩达)
Knetnlpmodels.jl
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8
An NLPModels Interface to Knet
Almond
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8
ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion
Wind Turbines Edge Ai
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7
Detect wind turbine errors using a hybrid model. Utilize ML, DL, edge computing. Dataset, neural network optimized with genetic algorithms. Low computational power ML models. Data is stored in the cloud. Turbine status via secure APIs. Password encryption. GRASP, SOLID
Optiml
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7
Optimizers for/and sklearn compatible Machine Learning models
Machine_learning_workbench
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7
Workbench for practical machine learning in Ruby.
Hessianfree
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7
On the New method of Hessian-free second-order optimization
Neural Network Hyperparameter Search Papers
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7
This repository will give papers related to techniques for neural network configuration search like evolution strategies, genetic algorithms, bayesian optimization and re-enforcement learning
Improving Deep Neural Networks
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7
Improving-Deep-Neural-Networks
C Attl3
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6
A C++ deep learning library for the construction and optimization of neural networks ranging from simple feedforward architectures to state-of-the-art convolutional ResNets and LSTMs.
Code_otwo_elm
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6
(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
Learning
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6
Python machine learning library using powerful numerical optimization methods.
Cgraph
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6
C computation graph, AutoGrad with OpenCL support [WIP]
Deep Learning With Pytorch
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5
Content from the University of British Columbia's Master of Data Science course DSCI 572.
Relu Opt Public
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5
Code for optimizing MILP problems with embedded ReLU networks
Fedsim
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5
A generic Federated Learning simulator!
Norgs
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5
Agents in an environment learning to sense rewards. Neural Networks are trained with Particle Swarm Optimization
Path Sgd
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5
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Dnnamo
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5
Dnnamo: Tools for Analysis, Modeling, and Optimization of Deep Neural Networks
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