Topic: hyperparameter-tuning Goto Github
Some thing interesting about hyperparameter-tuning
Some thing interesting about hyperparameter-tuning
hyperparameter-tuning,Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Organization: agilerl
Home Page: https://agilerl.com
hyperparameter-tuning,State-of-the art Automated Machine Learning python library for Tabular Data
User: alex-lekov
hyperparameter-tuning,EvalML is an AutoML library written in python.
Organization: alteryx
Home Page: https://evalml.alteryx.com
hyperparameter-tuning,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
User: amanchadha
hyperparameter-tuning,Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
User: ankit-kumar-saini
hyperparameter-tuning,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-tuning,Parallel Hyperparameter Tuning in Python
Organization: arm-software
hyperparameter-tuning,Automated Machine Learning with scikit-learn
Organization: automl
Home Page: https://automl.github.io/auto-sklearn
hyperparameter-tuning,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Organization: automl
Home Page: https://automl.github.io/SMAC3/v2.0.2/
hyperparameter-tuning,Gradient based Hyperparameter Tuning library in PyTorch
Organization: awslabs
hyperparameter-tuning,Library for automatic retraining and continual learning
Organization: awslabs
Home Page: https://renate.readthedocs.io
hyperparameter-tuning,Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Organization: awslabs
Home Page: https://syne-tune.readthedocs.io
hyperparameter-tuning,Human-explainable AI.
Organization: bcg-x-official
Home Page: https://bcg-x-official.github.io/facet
hyperparameter-tuning,A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Organization: datacanvasio
Home Page: https://hypernets.readthedocs.io/
hyperparameter-tuning,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-tuning,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-tuning,Black box hyperparameter optimization made easy.
User: evhub
hyperparameter-tuning,Hyperparameter tuning for machine learning models using a distributed genetic algorithm
User: gmontamat
hyperparameter-tuning,This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai
User: gmortuza
Home Page: https://www.coursera.org/specializations/deep-learning
hyperparameter-tuning,Pre-trained Gaussian processes for Bayesian optimization
Organization: google-research
Home Page: https://arxiv.org/abs/2109.08215
hyperparameter-tuning,Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Organization: google
Home Page: https://oss-vizier.readthedocs.io
hyperparameter-tuning,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-tuning,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
User: huntermcgushion
hyperparameter-tuning,Library for Semi-Automated Data Science
Organization: ibm
Home Page: https://lale.readthedocs.io
hyperparameter-tuning,Audio feature extraction and classification
User: jsingh811
hyperparameter-tuning,Automated Machine Learning on Kubernetes
Organization: kubeflow
Home Page: https://www.kubeflow.org/docs/components/katib
hyperparameter-tuning,Metadata store for Production ML
Organization: layerai-archive
Home Page: https://layer.ai
hyperparameter-tuning,Sentence Classifications with Neural Networks
User: lettergram
Home Page: https://austingwalters.com/neural-networks-to-production-from-an-engineer/
hyperparameter-tuning,An automatic ML model optimization tool.
User: lge-arc-advancedai
Home Page: https://lge-arc-advancedai.github.io/auptimizer/
hyperparameter-tuning,Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
User: liyanghart
hyperparameter-tuning,Distribution transparent Machine Learning experiments on Apache Spark
Organization: logicalclocks
Home Page: https://maggy.ai
hyperparameter-tuning,Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
User: mattdl
Home Page: https://ieeexplore.ieee.org/abstract/document/9349197
hyperparameter-tuning,Population Based Training (in PyTorch with sqlite3). Status: Unsupported
User: mattkleinsmith
hyperparameter-tuning,An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Organization: microsoft
Home Page: https://nni.readthedocs.io
hyperparameter-tuning,OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Organization: mind-lab
hyperparameter-tuning,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.
Organization: neuraxio
Home Page: https://www.neuraxle.org/
hyperparameter-tuning,Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Organization: nvidia
hyperparameter-tuning,The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
Organization: onepanelio
Home Page: https://docs.onepanel.ai/
hyperparameter-tuning,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.
User: ppant
Home Page: http://pradeeppant.com
hyperparameter-tuning,A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Organization: ray-project
Home Page: https://docs.ray.io/en/master/tune/api_docs/sklearn.html
hyperparameter-tuning,Sequential model-based optimization with a `scipy.optimize` interface
Organization: scikit-optimize
Home Page: https://scikit-optimize.github.io
hyperparameter-tuning,Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
User: sherpa-ai
Home Page: http://parameter-sherpa.readthedocs.io/
hyperparameter-tuning,SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Organization: skypilot-org
Home Page: https://skypilot.readthedocs.io
hyperparameter-tuning,Generalized and Efficient Blackbox Optimization System.
User: thomas-young-2013
Home Page: https://open-box.readthedocs.io
hyperparameter-tuning,A scikit-learn compatible implementation of hyperband
User: thuijskens
hyperparameter-tuning,🔥 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
hyperparameter-tuning,A web-based dashboard for Deep Learning
User: warbean
hyperparameter-tuning,Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Organization: western-oc2-lab
hyperparameter-tuning,PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
User: williamlwj
Home Page: https://pyxab.readthedocs.io/
hyperparameter-tuning,Tuning hyperparams fast with Hyperband
User: zygmuntz
Home Page: http://fastml.com/tuning-hyperparams-fast-with-hyperband/
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