Topic: hyperparameter-search Goto Github
Some thing interesting about hyperparameter-search
Some thing interesting about hyperparameter-search
hyperparameter-search,Easy & Quick : Docker services are using hyperopt in parallel on top of Mongodb
User: 30lm32
hyperparameter-search,sharpDARTS: Faster and More Accurate Differentiable Architecture Search
User: ahundt
Home Page: http://arxiv.org/abs/1903.09900
hyperparameter-search,A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
User: araffin
Home Page: https://stable-baselines.readthedocs.io/
hyperparameter-search,PyTorch template to facilitate scientific research using deep learning
User: arneschneuing
hyperparameter-search,Automated Machine Learning with scikit-learn
Organization: automl
Home Page: https://automl.github.io/auto-sklearn
hyperparameter-search,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Organization: automl
Home Page: https://automl.github.io/SMAC3/v2.1.0/
hyperparameter-search,A wrapper for searching over Neural network architectures, built on top of MXNet framework, in particular gluon.
User: chrisgschon
hyperparameter-search,Hyperparameter search for AllenNLP - powered by Ray TUNE
User: christophalt
hyperparameter-search,Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Organization: determined-ai
Home Page: https://determined.ai
hyperparameter-search,A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Organization: dlr-rm
Home Page: https://rl-baselines3-zoo.readthedocs.io
hyperparameter-search,sklearn wrapper for Hyperopt
User: drmatters
hyperparameter-search,We share in this repository some codes and data used during our research about glass property prediction and the design of new glasses.
User: ealcobaca
hyperparameter-search,π¨ Malet (Machine Learning Experiment Tool) is a tool for efficient machine learning experiment execution, logging, analysis, and plot making.
User: edong6768
hyperparameter-search,Tree-of-Parzen-estimators hyperparameter optimization
User: eigenein
Home Page: https://crates.io/crates/hyperopt
hyperparameter-search,Additional Callbacks for Weights & Biases to monitor your models even better :mag_right:
User: fabiangroeger96
Home Page: https://fabiangroeger96.github.io/wandb-callbacks/
hyperparameter-search,Selected Paper from the AI-CyberSec 2021 Workshop in the 41st SGAI International Conference on Artificial Intelligence (MDPI Journal Electronics)
User: fahadgorain
hyperparameter-search,hyperparameter search for machine learning
User: falcondai
hyperparameter-search,Code examples for https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/
Organization: floydhub
hyperparameter-search,Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
User: guillaume-chevalier
hyperparameter-search,CS5228 Kaggle Inclass Competition: Predicting if Income > 50K
User: hanaecarrie
hyperparameter-search,Sequential model-based optimization with a `scipy.optimize` interface
User: holgern
Home Page: http://scikit-optimize.readthedocs.io/
hyperparameter-search,Hyperparameters-Optimization
User: hyeonsangjeon
hyperparameter-search,Library for Semi-Automated Data Science
Organization: ibm
Home Page: https://lale.readthedocs.io
hyperparameter-search,Using Pytorch Lightning and Torchxrayvision's Pretrained Densenet121 Models
User: ihamdi
hyperparameter-search,Efficient AutoRL script for any framework
User: imoneoi
hyperparameter-search,An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:
Organization: isg-siegen
Home Page: https://auto-surprise.readthedocs.io/en/stable/
hyperparameter-search,Structure, sample, and savor hyperparameter searches.
User: jeffkinnison
hyperparameter-search,Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
User: jonzia
Home Page: https://jonzia.github.io/NeuralNetStudio/
hyperparameter-search,ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ MLflow Π΄Π»Ρ ΡΡΠ΅ΠΊΠΈΠ½Π³Π° ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠΎΠ² PyTorch ΠΈ Sklearn
User: koldim2001
hyperparameter-search,AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
User: ksachdeva
hyperparameter-search,Distribution transparent Machine Learning experiments on Apache Spark
Organization: logicalclocks
Home Page: https://maggy.ai
hyperparameter-search,The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset
User: lovpatel93
Home Page: https://www.kaggle.com/uciml/pima-indians-diabetes-database
hyperparameter-search,hyperparameters is a Javascript library for hyperparameter optimization.
User: martin-stoyanov
Home Page: https://hyperjs.herokuapp.com/
hyperparameter-search,Population Based Training (in PyTorch with sqlite3). Status: Unsupported
User: mattkleinsmith
hyperparameter-search,OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Organization: mind-lab
hyperparameter-search, I have trained two different CNN models for binary image classification to see which architecture has better accuracy, takes less time in training, how hyperparamters affect training and how many epochs do each of them need. I achieved 96% accuracy on the best model.
User: moddy2024
hyperparameter-search,Federated Meta-Learning: a concept that allows everyone to benefit from the data that is generated through machine learning libraries.
User: mukeshmk
Home Page: https://fmlearn.herokuapp.com/
hyperparameter-search,A GridSearchCV-like hyperparameter optimizer for clustering (no cross-validation).
User: ndgigliotti
hyperparameter-search,The world's cleanest AutoML library β¨ - 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.
Organization: neuraxio
Home Page: https://www.neuraxle.org/
hyperparameter-search,Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.
Organization: newronai
Home Page: https://newron.ai
hyperparameter-search,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.
Organization: ray-project
Home Page: https://ray.io
hyperparameter-search,π¬ Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
User: rmccorm4
hyperparameter-search,Sentiment analysis for amazon product reviews using NLTK, Scikit-Learn, and Keras. Using hyperparameter search and LSTM, our best model achieves ~96% accuracy.
User: rtflynn
hyperparameter-search,Sequential model-based optimization with a `scipy.optimize` interface
Organization: scikit-optimize
Home Page: https://scikit-optimize.github.io
hyperparameter-search,MLOps Python library/platform for tracking machine learning projects
User: senadkurtisi
hyperparameter-search,ray project δΈζζζ‘£
User: senmumu
hyperparameter-search,Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
User: sherpa-ai
Home Page: http://parameter-sherpa.readthedocs.io/
hyperparameter-search,Genetic algorithm framework for tuning arbitrary functions
User: tjkessler
hyperparameter-search,Black-box optimization library
User: vthorey
hyperparameter-search,π₯ A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Organization: wandb
Home Page: https://wandb.ai
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.