GitHub
deep-learning
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
☆ 621View skill
benchflow-ai AI Skills
GitHub ↗Browse published AI skills maintained by benchflow-ai. Compare skill descriptions and follow each source repository for setup instructions.
Author statistics
Indexed skills
349Repository stars across indexed skills
183,468Repository forks
66,973Average repository stars per indexed skill
526Repository stars may repeat across skills from the same repository.
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GitHub
regression-models
Bayesian regression models including linear, logistic, Poisson, negative binomial, and robust regression with Stan and JAGS implementations.
☆ 621View skill
GitHub
model-deployment
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
☆ 621View skill
GitHub
seisbench-model-api
An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. It is useful for annotating waveforms using pretrained SOTA ML models, f...
☆ 621View skill
GitHub
stan-fundamentals
Foundational knowledge for writing Stan 2.37 models including program structure, type system, distributions, and best practices. Use when creating or reviewing Stan models.
☆ 621View skill
GitHub
evaluate-model
Measure model performance on test datasets. Use when assessing accuracy, precision, recall, and other metrics.
☆ 621View skill
GitHub
glm-calibration
Calibrate GLM parameters for water temperature simulation. Use when you need to adjust model parameters to minimize RMSE between simulated and observed temperatures.
☆ 621View skill
GitHub
stan-development
Expert guidance for Stan probabilistic programming language development, including modern syntax, cmdstanr/cmdstanpy integration, and testing patterns
☆ 621View skill
GitHub
python-regression-statistics
Expert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD - includes model diagnostics, assumption checking, robust methods,...
☆ 621View skill
GitHub
workload-balancing
Optimize workload distribution across workers, processes, or nodes for efficient parallel execution. Use when asked to balance work distribution, improve parallel efficiency, reduce stragglers, implement load b...
☆ 621View skill
GitHub
map-optimization-strategy
Strategy for solving constraint optimization problems on spatial maps. Use when you need to place items on a grid/map to maximize some objective while satisfying constraints.
☆ 621View skill
GitHub
python-project
Use when creating Python projects, managing dependencies with uv, configuring pyproject.toml, building packages, or publishing to PyPI - covers project initialization, dependency management, and distribution; N...
☆ 620View skill
GitHub
python-packaging
Automatically applies when configuring Python project packaging. Ensures proper pyproject.toml setup, project layout, build configuration, metadata, and distribution best practices.
☆ 620View skill
GitHub
python-env
Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.
☆ 620View skill
GitHub
python-scripting
Python scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dependency management.
☆ 620View skill
GitHub
latex-build
Builds LaTeX documents using latexmk with live preview and dependency tracking. Use when setting up builds, live preview, or troubleshooting compilation.
☆ 620View skill
GitHub
setup-to-pyproject
Migrate Python projects from setup.py/setup.cfg to pyproject.toml for use with uv. Use when upgrading legacy Python packaging, converting setup.py to modern pyproject.toml format, setting up dependency groups f...
☆ 620View skill
GitHub
forge-lang-python
Python development standards including pytest, ruff, black, and mypy. Use when working with Python files, tests, or dependencies.
☆ 620View skill
GitHub
pypi-server
Guidance for creating Python packages and serving them via a local PyPI server. This skill applies when tasks involve building Python packages (with pyproject.toml or setup.py), setting up local package reposit...
☆ 620View skill
GitHub
uv
This skill should be used when creating new Python projects or managing Python dependencies. IMPORTANT - uv must ALWAYS be used for any Python-related commands in Python projects (running scripts, installing pa...
☆ 620View skill
GitHub
running-python
Runs Python scripts and manages projects using uv. Use when asked to run a python script, execute python code, run pytest, or install packages. Always uses uv instead of pip or bare python.
☆ 620View skill
GitHub
pytorch-core
Core PyTorch fundamentals including tensor operations, autograd, nn.Module architecture, and training loop orchestration. Covers optimizations like pin_memory and lazy module initialization. (pytorch, tensor, a...
☆ 620View skill
GitHub
moai-lang-cpp
Modern C++ (C++23/C++20) development specialist covering RAII, smart pointers, concepts, ranges, modules, and CMake. Use when developing high-performance applications, games, system software, or embedded system...
☆ 620View skill
GitHub
numpy-ufuncs
Universal functions (ufuncs) for vectorization, including reductions, in-place operations, and custom Python-function wrapping. Triggers: ufunc, vectorize, reduce, accumulate, frompyfunc, in-place.
☆ 620View skill
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.