Open-source implementation of Google Vizier for hyper parameters tuning
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Updated
Nov 11, 2019 - Jupyter Notebook
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A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
reinforcement-learning optimization openai-gym hyperparameters openai gym hyperparameter-optimization rl zoo hyperparameter-tuning hyperparameter-search pybullet stable-baselines
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
deep-learning neural-network reproducible-research collaborative-filtering matrix-factorization hyperparameters bpr recommendation-system recommender-system reproducibility recommendation-algorithms knn matrix-completion evaluation-framework content-based-recommendation hybrid-recommender-system funksvd bprmf bprslim slimelasticnet
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 enviro…
machine-learning framework deep-learning pipeline scikit-learn python-library parallel pipeline-framework hyperparameters hyperparameter-optimization hyperparameter-tuning hyperparameter-search neuraxle
Tuning hyperparams fast with Hyperband
machine-learning hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting
Machine learning algorithms in Dart programming language
dart classifier data-science machine-learning algorithm linear-regression machine-learning-algorithms regression hyperparameters sgd logistic-regression softmax-regression dartlang stochastic-gradient-descent softmax lasso-regression batch-gradient-descent mini-batch-gradient-descent softmax-classifier softmax-algorithm
Workflow engine for exploration of simulation models using high throughput computing
workflow scala grid workflow-engine distributed-computing hyperparameters scientific-computing parameter-estimation modeling-tool parameter-search egi parameter-tuning dirac
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
deep-learning hyperparameters hyperparameter-optimization deepmind hyperparameter-tuning pbt hyperparameter-search population-based-training
Configure Python functions explicitly and safely
A library for composing end-to-end tunable machine learning pipelines.
Streamlined machine learning experiment management.
An interactive framework to visualize and analyze your AutoML process in real-time.
visualization real-time analysis interactive hyperparameters automl sampling-bias iml hyperparameter-importance
Adventures using keras on Google's Cloud ML Engine
How to initialize Anchors in Faster RCNN for custom dataset?
python computer-vision aspect-ratio detection hyperparameters anchor faster-rcnn object-detection kmeans clusters distance-metric bounding-boxes tensorflow-models iou custom-dataset anchor-box
Awesome series for Large Language Model(LLM)s
nlp machine-learning natural-language-processing awesome ai ml hyperparameters openai awesome-list gpt bert bard t5 gpt3 large-language-models llm chatgpt
Purely functional genetic algorithms for multi-objective optimisation
scala functional-programming genetic-algorithm hyperparameters hyperparameter-optimization hyperparameter-tuning optimisation parameter-tuning
ES6 hyperparameters search for tfjs
Tuning XGBoost hyper-parameters with Simulated Annealing
Deep learning, architecture and hyper parameters search with genetic algorithms
Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
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