#计算机科学#An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
#计算机科学#The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
#计算机科学#SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
Automated Machine Learning with scikit-learn
#计算机科学#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...
#计算机科学#Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
#计算机科学#Sequential model-based optimization with a `scipy.optimize` interface
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
#大语言模型#Automated Machine Learning on Kubernetes
#算法刷题#Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
#计算机科学#Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
#计算机科学#EvalML is an AutoML library written in python.
#计算机科学#Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
#自然语言处理#OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
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.
#计算机科学#Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
#计算机科学#Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
#计算机科学#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 spa...