Awesome Open Source

Programming Languages

Search results for deep learning hyperparameter optimization

deep-learning x

hyperparameter-optimization x

69 search results found

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

D2l En ⭐ 20,613

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Wandb ⭐ 8,204

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Autogluon ⭐ 7,109

Fast and Accurate ML in 3 Lines of Code

Flaml ⭐ 3,500

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Polyaxon ⭐ 3,438

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Keras Tuner ⭐ 2,795

A Hyperparameter Tuning Library for Keras

Determined ⭐ 2,715

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Coursera Deep Learning Specialization ⭐ 2,459

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Auto Pytorch ⭐ 2,158

Automatic architecture search and hyperparameter optimization for PyTorch

Talos ⭐ 1,596

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Auto_ml ⭐ 1,442

[UNMAINTAINED] Automated machine learning for analytics & production

Vizier ⭐ 1,142

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Test Tube ⭐ 719

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Neuraxle ⭐ 533

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Hypersearch ⭐ 352

Hyperparameter optimization for PyTorch.

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

Awesome Distributed Deep Learning ⭐ 309

A curated list of awesome Distributed Deep Learning resources.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Asynchronous Distributed Hyperparameter Optimization.

My Data Competition Experience ⭐ 271

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Deephyper ⭐ 253

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Auptimizer ⭐ 195

An automatic ML model optimization tool.

Deeplearning Notes ⭐ 194

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Deep_architect_legacy ⭐ 146

DeepArchitect: Automatically Designing and Training Deep Architectures

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Population Based Training (in PyTorch with sqlite3). Status: Unsupported

Deep_architect ⭐ 98

A general, modular, and programmable architecture search framework

Metadata store for Production ML

Pyhopper ⭐ 82

PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.

Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Welltunedsimplenets ⭐ 55

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

Mindware ⭐ 54

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Intrusion Detection System Using Cnn And Transfer Learning ⭐ 54

Code for intrusion detection system (IDS) development using CNN models and transfer learning

Deep_traffic ⭐ 49

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Naivegaflux.jl ⭐ 41

Evolve Flux networks from scratch!

A lightweight and visual AutoML system

Lfads Torch ⭐ 34

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Keras Hypetune ⭐ 33

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

A general data-flow-based machine learning suit combining auto machine learning and multiple simplified machine learning algorithm for unprofessional data scenitists

Cerebros Core Algorithm Alpha ⭐ 26

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

Naivenasflux.jl ⭐ 23

Your local Flux surgeon

Polyaxon Core Client & CLI to streamline MLOps

Deep learning toolbox for earthquake localization and detection

Naivenaslib.jl ⭐ 17

Relentless mutation!!

Scalable, structured, dynamically-scheduled hyperparameter optimization.

Autolfads Tf2 ⭐ 16

A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables

Optkeras ⭐ 14

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

Nlpboost ⭐ 14

Python library for automatic training, optimization and comparison of Transformer models on most NLP tasks.

GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP

Cs230_dl ⭐ 13

♊ Stanford CS230 : Deep Learning

Machine learning's parameter search and feature selection module which is integrated log management and visualization.

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

Hypernomad ⭐ 10

A library for the hyperparameter optimization of deep neural networks

Prediction Of Solar Radiation ⭐ 9

Utilizing an Artificial Neural Network (ANN) based on Hyperparameter tuning, a new solution for Solar Radiation is approached.

[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations

DashAI provides a simple graphical user interface (GUI) that guides users through a step-by-step process through creating, training, and saving a model.

Mnist_classification_using_quantum_machine_learning ⭐ 7

Project for McGill Physics Hackathon 2020

Coursera Deep Learning Specialization ⭐ 7

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks..

Bayesian_dl ⭐ 6

Let's understand about Bayesian Deep Learning

Machine Learning Toolbox 2

Scalable Hpo Pybay ⭐ 5

This repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS

Schedy Client ⭐ 5

All your Data Science Experiments in one place

Machine_learning_hackathons ⭐ 5

Machine learning and Deep Learning Hackathon Solutions

Related Searches

Python Deep Learning (13,092)

Jupyter Notebook Deep Learning (10,328)

Deep Learning Pytorch (6,479)

Deep Learning Tensorflow (5,810)

Deep Learning Neural Network (5,801)

Deep Learning Convolutional Neural Networks (4,142)

Deep Learning Neural (3,768)

Network Deep Learning (3,569)

Deep Learning Keras (3,228)

Deep Learning Computer Vision (3,017)

1-69 of 69 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.