| packages/nixpkgs/python313Packages.shap | Unified approach to explain the output of any machine learning model |
| packages/nixpkgs/python313Packages.comet-ml | Platform designed to help machine learning teams track, compare, explain, and optimize their models |
| packages/nixpkgs/python314Packages.comet-ml | Platform designed to help machine learning teams track, compare, explain, and optimize their models |
| packages/nixpkgs/python313Packages.lime | Local Interpretable Model-Agnostic Explanations for machine learning classifiers |
| packages/nixpkgs/python314Packages.lime | Local Interpretable Model-Agnostic Explanations for machine learning classifiers |
| packages/nixpkgs/python313Packages.prov | Python library for W3C Provenance Data Model (PROV) |
| packages/nixpkgs/python313Packages.pykka | Python implementation of the actor model |
| packages/nixpkgs/python314Packages.prov | Python library for W3C Provenance Data Model (PROV) |
| packages/nixpkgs/python314Packages.pykka | Python implementation of the actor model |
| packages/nixpkgs/python312Packages.timm | PyTorch image models, scripts, and pretrained weights |
| packages/nixpkgs/python312Packages.pins | Module to publishes data, models and other Python objects |
| packages/nixpkgs/python314Packages.wtf-peewee | WTForms integration for peewee models |
| packages/nixpkgs/python313Packages.gradio | Python library for easily interacting with trained machine learning models |
| packages/nixpkgs/python314Packages.gradio | Python library for easily interacting with trained machine learning models |
| packages/nixpkgs/python313Packages.wtf-peewee | WTForms integration for peewee models |
| packages/nixpkgs/python312Packages.lida | Automatic Generation of Visualizations and Infographics using Large Language Models |
| packages/nixpkgs/python312Packages.dask-glm | Generalized Linear Models with Dask |
| packages/nixpkgs/python312Packages.lm-eval | Framework for few-shot evaluation of language models |
| packages/nixpkgs/python313Packages.kotsu | Lightweight framework for structured and repeatable model validation |
| packages/nixpkgs/python313Packages.bambi | High-level Bayesian model-building interface |
| packages/nixpkgs/python314Packages.bambi | High-level Bayesian model-building interface |
| packages/nixpkgs/python314Packages.kotsu | Lightweight framework for structured and repeatable model validation |
| packages/nixpkgs/pulumiPackages.pulumi-command | Pulumi provider to execute commands and scripts either locally or remotely as part of the Pulumi resource model |
| packages/nixpkgs/python313Packages.llm-gemini | LLM plugin to access Google's Gemini family of models |
| packages/nixpkgs/python314Packages.llm-gemini | LLM plugin to access Google's Gemini family of models |
| packages/nixpkgs/python313Packages.pyngo | Pydantic model support for Django & Django-Rest-Framework |
| packages/nixpkgs/python314Packages.pyngo | Pydantic model support for Django & Django-Rest-Framework |
| packages/nixpkgs/python312Packages.mlx-vlm | Inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX |
| packages/nixpkgs/python312Packages.llm-groq | LLM plugin providing access to Groqcloud models. |
| packages/nixpkgs/python312Packages.patsy | Python package for describing statistical models |
| packages/nixpkgs/python313Packages.gradio-pdf | Python library for easily interacting with trained machine learning models |
| packages/nixpkgs/python314Packages.gradio-pdf | Python library for easily interacting with trained machine learning models |
| packages/nixpkgs/python312Packages.arviz | Library for exploratory analysis of Bayesian models |
| packages/nixpkgs/python312Packages.llm-gguf | Run models distributed as GGUF files using LLM |
| packages/nixpkgs/python312Packages.nengo | Python library for creating and simulating large-scale brain models |
| packages/nixpkgs/python312Packages.txtai | Semantic search and workflows powered by language models |
| packages/nixpkgs/python314Packages.related | Nested Object Models in Python |
| packages/nixpkgs/python313Packages.fschat | Open platform for training, serving, and evaluating large language models |
| packages/nixpkgs/python313Packages.fuzzytm | Library for Fuzzy Topic Models |
| packages/nixpkgs/python313Packages.llm-ollama | LLM plugin providing access to Ollama models using HTTP API |
| packages/nixpkgs/python313Packages.llm-venice | LLM plugin to access models available via the Venice API |
| packages/nixpkgs/python313Packages.related | Nested Object Models in Python |
| packages/nixpkgs/python314Packages.llm-ollama | LLM plugin providing access to Ollama models using HTTP API |
| packages/nixpkgs/python314Packages.llm-venice | LLM plugin to access models available via the Venice API |
| packages/nixpkgs/python314Packages.fschat | Open platform for training, serving, and evaluating large language models |
| packages/nixpkgs/python314Packages.fuzzytm | Library for Fuzzy Topic Models |
| packages/nixpkgs/python312Packages.demes | Tools for describing and manipulating demographic models |
| packages/nixpkgs/python314Packages.wn | Modern, interlingual wordnet interface for Python |
| packages/nixpkgs/python313Packages.wn | Modern, interlingual wordnet interface for Python |
| packages/nixpkgs/python314Packages.sarif-om | Classes implementing the SARIF 2.1.0 object model |
| packages/nixpkgs/python313Packages.sarif-om | Classes implementing the SARIF 2.1.0 object model |
| packages/nixpkgs/python312Packages.llm-grok | LLM plugin providing access to Grok models using the xAI API |
| packages/nixpkgs/python312Packages.skops | Library for saving/loading, sharing, and deploying scikit-learn based models |
| packages/nixpkgs/python313Packages.mung | Music Notation Graph: a data model for optical music recognition |
| packages/nixpkgs/python313Packages.captum | Model interpretability and understanding for PyTorch |
| packages/nixpkgs/python313Packages.cyvest | Cybersecurity Investigation Model |
| packages/nixpkgs/python314Packages.mung | Music Notation Graph: a data model for optical music recognition |
| packages/nixpkgs/python314Packages.cyvest | Cybersecurity Investigation Model |
| packages/nixpkgs/python314Packages.captum | Model interpretability and understanding for PyTorch |
| packages/nixpkgs/python314Packages.tf2onnx | Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX |
| packages/nixpkgs/python313Packages.tf2onnx | Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX |
| packages/nixpkgs/python313Packages.pyfume | Python package for fuzzy model estimation |
| packages/nixpkgs/python314Packages.pyfume | Python package for fuzzy model estimation |
| packages/nixpkgs/python313Packages.gliner | Generalist and Lightweight Model for Named Entity Recognition |
| packages/nixpkgs/python314Packages.gliner | Generalist and Lightweight Model for Named Entity Recognition |
| packages/nixpkgs/python312Packages.comet-ml | Platform designed to help machine learning teams track, compare, explain, and optimize their models |
| packages/nixpkgs/python314Packages.kokoro | Open-weight TTS model with 82 million parameters |
| packages/nixpkgs/python313Packages.pytz | World timezone definitions, modern and historical |
| packages/nixpkgs/python314Packages.pytz | World timezone definitions, modern and historical |
| packages/nixpkgs/python314Packages.sismic | Sismic Interactive Statechart Model Interpreter and Checker |
| packages/nixpkgs/python313Packages.kokoro | Open-weight TTS model with 82 million parameters |
| packages/nixpkgs/python313Packages.sismic | Sismic Interactive Statechart Model Interpreter and Checker |
| packages/nixpkgs/python312Packages.gradio | Python library for easily interacting with trained machine learning models |
| packages/nixpkgs/python314Packages.skl2onnx | Convert scikit-learn models to ONNX |
| packages/nixpkgs/python313Packages.msprime | Simulate genealogical trees and genomic sequence data using population genetic models |
| packages/nixpkgs/python313Packages.skl2onnx | Convert scikit-learn models to ONNX |
| packages/nixpkgs/python314Packages.msprime | Simulate genealogical trees and genomic sequence data using population genetic models |
| packages/nixpkgs/python312Packages.prov | Python library for W3C Provenance Data Model (PROV) |
| packages/nixpkgs/python312Packages.shap | Unified approach to explain the output of any machine learning model |
| packages/nixpkgs/python313Packages.llm-mistral | LLM plugin providing access to Mistral models using the Mistral API |
| packages/nixpkgs/python313Packages.llm-command-r | Access the Cohere Command R family of models |
| packages/nixpkgs/python314Packages.llm-command-r | Access the Cohere Command R family of models |
| packages/nixpkgs/python314Packages.llm-mistral | LLM plugin providing access to Mistral models using the Mistral API |
| packages/nixpkgs/python313Packages.cltk | Natural language processing (NLP) framework for pre-modern languages |
| packages/nixpkgs/python314Packages.cltk | Natural language processing (NLP) framework for pre-modern languages |
| packages/nixpkgs/shrinkray | Modern multi-format test-case reducer |
| packages/nixpkgs/vidcutter | Modern yet simple multi-platform video cutter and joiner |
| packages/nixpkgs/python312Packages.lime | Local Interpretable Model-Agnostic Explanations for machine learning classifiers |
| packages/nixpkgs/python312Packages.wtf-peewee | WTForms integration for peewee models |
| packages/nixpkgs/minizincide | IDE for MiniZinc, a medium-level constraint modelling language |
| packages/nixpkgs/python312Packages.mung | Music Notation Graph: a data model for optical music recognition |
| packages/nixpkgs/python312Packages.pykka | Python implementation of the actor model |
| packages/nixpkgs/python313Packages.llm-llama-server | LLM plugin for interacting with llama-server models |
| packages/nixpkgs/python314Packages.llm-llama-server | LLM plugin for interacting with llama-server models |
| packages/nixpkgs/ultralytics | Train YOLO models for computer vision tasks |
| packages/nixpkgs/python313Packages.mflux | MLX native implementations of state-of-the-art generative image models |
| packages/nixpkgs/python313Packages.formulae | Formulas for mixed-effects models in Python |
| packages/nixpkgs/python314Packages.mflux | MLX native implementations of state-of-the-art generative image models |
| packages/nixpkgs/python314Packages.formulae | Formulas for mixed-effects models in Python |
| packages/nixpkgs/python312Packages.llm-gemini | LLM plugin to access Google's Gemini family of models |