Awesome Data Analysis
Section: Tools · Hyperparameter optimization framework.
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Appears in 8 awesome lists
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Section: Tools · Hyperparameter optimization framework.
Section: Miscellaneous Tools · Automatic hyperparameter optimization software framework
Section: AutoML · A hyperparameter optimization framework.
Section: Python · Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Section: 1. Core Frameworks & Libraries · Modern, define-by-run hyperparameter optimization with pruning and visualizations. Extremely popular in 2026.
Section: AutoML · Optuna is an automatic hyperparameter optimisation software framework, particularly designed for machine learning.
Section: Optimization · A hyperparameter optimization framework.
Section: Machine Learning Frameworks · A hyperparameter optimization framework
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io