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39 search results found

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

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

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

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

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Shap Hypetune ⭐ 496

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Parallel Hyperparameter Tuning in Python

Intrusion Detection System Using Machine Learning ⭐ 248

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Bayesian Optimization ⭐ 218

Python code for bayesian optimization using Gaussian processes

Codeflare ⭐ 199

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Hyperparameter Optimization ⭐ 93

Code repository for the online course Hyperparameter Optimization for Machine Learning

Intrusion Detection System Using Cnn And Transfer Learning ⭐ 54

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

Oasw Concept Drift Detection And Adaptation ⭐ 42

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

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.

Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.

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.

Spotify_song_recommender ⭐ 24

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Sacred_hyperopt_example ⭐ 22

A minimal example for integrating a general machine learning training script with SACRED experimental framework, and HyperOpt (Distributed Asynchronous Hyperparameter Optimization).

Optuna Allennlp ⭐ 16

🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.

Insolver ⭐ 16

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

Camelsoptimizer ⭐ 16

Yes, it's a camel case.

Ga Tcn Lstm ⭐ 14

An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.

Hyperparameters Optimization ⭐ 14

Hyperparameters-Optimization

Mobile Price Prediction Classification Analysis ⭐ 10

Supervised Machine Learning Analysis Using Classification Models

Timeseriesgan ⭐ 9

GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks

Sagemaker Step Functions ⭐ 8

Hyperquest ⭐ 7

Mimic HyperQuest from Stanford University, CS231n

Global_optimization ⭐ 7

Heuristic global optimization algorithms in Python

Employee Absenteeism ⭐ 7

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..

Hyperparameter_optimization ⭐ 6

Code for article on hyperparameter optimization

K Means_customer_segmentation ⭐ 6

Using K-Means algorithm for customer segmentation due to credit card behavior

Dp Hyperparamtuning ⭐ 6

DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.

Release code for Bayesian Optimization for Iterative Learning (BOIL) at NeurIPS2020

Predicting Indian Stocks Price With Stacked Lstm ⭐ 6

Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.

Scalable Hpo Pybay ⭐ 5

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

Machine_learning_hackathons ⭐ 5

Machine learning and Deep Learning Hackathon Solutions

Tutorial_hyperparameter_optimization ⭐ 5

A tutorial on Hyper-Parameter Optimization

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