Statistics for topic hyperparameter-optimization

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.

A hyperparameter optimization framework

Fast and Accurate ML in 3 Lines of Code

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 Neur...

Real-time Web Dashboard for Optuna.

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 Neur...

Python library for CMA Evolution Strategy.

A curated list of awesome Distributed Deep Learning resources.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

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.

A hyperparameter optimization framework

Fast and Accurate ML in 3 Lines of Code

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 Neur...

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

🐟Tunny🐟 is Grasshopper's optimization component using Optuna, an open source hyperparameter auto-optimization framework.

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

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

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

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.

A hyperparameter optimization framework

Fast and Accurate ML in 3 Lines of Code

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

🐟Tunny🐟 is Grasshopper's optimization component using Optuna, an open source hyperparameter auto-optimization framework.

Propulate is an asynchronous population-based optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

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

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

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.

A hyperparameter optimization framework

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Fast and Accurate ML in 3 Lines of Code

Nomadic is an enterprise-grade framework for teams to continuously optimize compound AI systems

QSARtuna: QSAR model building with the optuna framework

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

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

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