Statistics for topic hyperparameter-optimization
RepositoryStats tracks 635,112 Github repositories, of these 127 are tagged with the hyperparameter-optimization topic. The most common primary language for repositories using this topic is Python (83). Other languages include: Jupyter Notebook (22)
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets...
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Code for intrusion detection system (IDS) development using CNN models and transfer learning
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets...
An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Code repository for the online course Hyperparameter Optimization for Machine Learning
Nomadic is an enterprise-grade framework for teams to continuously optimize compound AI systems
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Nomadic is an enterprise-grade framework for teams to continuously optimize compound AI systems
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" pu...
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.