GitHub
deep-learning
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
☆ 621查看技能
benchflow-ai AI Skills
GitHub ↗浏览 benchflow-ai 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
作者统计
已收录技能
349收录技能的仓库 Stars 合计
183,468仓库 Forks
66,973平均每个技能的仓库 Stars
526同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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GitHub
regression-models
Bayesian regression models including linear, logistic, Poisson, negative binomial, and robust regression with Stan and JAGS implementations.
☆ 621查看技能
GitHub
model-deployment
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
☆ 621查看技能
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...
☆ 621查看技能
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.
☆ 621查看技能
GitHub
evaluate-model
Measure model performance on test datasets. Use when assessing accuracy, precision, recall, and other metrics.
☆ 621查看技能
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.
☆ 621查看技能
GitHub
stan-development
Expert guidance for Stan probabilistic programming language development, including modern syntax, cmdstanr/cmdstanpy integration, and testing patterns
☆ 621查看技能
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,...
☆ 621查看技能
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...
☆ 621查看技能
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.
☆ 621查看技能
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...
☆ 620查看技能
GitHub
python-packaging
Automatically applies when configuring Python project packaging. Ensures proper pyproject.toml setup, project layout, build configuration, metadata, and distribution best practices.
☆ 620查看技能
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.
☆ 620查看技能
GitHub
python-scripting
Python scripting with uv and PEP 723 inline dependencies. Use when creating standalone Python scripts with automatic dependency management.
☆ 620查看技能
GitHub
latex-build
Builds LaTeX documents using latexmk with live preview and dependency tracking. Use when setting up builds, live preview, or troubleshooting compilation.
☆ 620查看技能
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...
☆ 620查看技能
GitHub
forge-lang-python
Python development standards including pytest, ruff, black, and mypy. Use when working with Python files, tests, or dependencies.
☆ 620查看技能
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...
☆ 620查看技能
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...
☆ 620查看技能
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.
☆ 620查看技能
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...
☆ 620查看技能
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...
☆ 620查看技能
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.
☆ 620查看技能
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。