Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
中文简介正在准备中。当前显示原文说明。
Operate Fugue workflows, FugueSQL, backend selection, and notebook magics for pandas and distributed dataframe execution.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this skill when a request is about Fugue's unified dataframe and SQL workflow API. Fugue wraps pandas-style code and runs it on Native, Spark, Dask, Ray, DuckDB, Ibis, and Polars backends.
references/overview.md for install choices and the top-level API map.references/troubleshooting.md for generic import, extra, and runtime failures.references/repo-provenance.md when you need to judge staleness.scripts/inspect_install.py --help or scripts/inspect_install.py to confirm the installed package.sub-skills/workflow/ for FugueWorkflow, transform, process, output, partitioning, checkpoints, module, and dataframe helpers.sub-skills/sql/ for fugue_sql, fsql, fugue_sql_flow, raw_sql, YIELD, PRINT, TRANSFORM USING, OUTPUT USING, and SQL templating.sub-skills/backends/ for execution-engine selection, registration, plugin imports, and backend extras.sub-skills/notebook/ for %load_ext fugue_notebook, %%fsql, NotebookSetup, and Jupyter display behavior.Install the smallest extra that matches the task:
pip install fugue for core dataframe and workflow helpers.pip install "fugue[sql]" for FugueSQL.pip install "fugue[duckdb]", "fugue[spark]", "fugue[dask]", "fugue[ray]", "fugue[ibis]", "fugue[polars]", or "fugue[notebook]" for a single backend or notebook support.pip install "fugue[all]" when you want the broad runtime set.python -c "import fugue, fugue.api as fa; print(fugue.__version__)"
If the request mentions a backend, notebook, or FugueSQL syntax error, open the matching sub-skill before writing code.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
中文简介正在准备中。当前显示原文说明。
Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.
中文简介正在准备中。当前显示原文说明。
Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.
中文简介正在准备中。当前显示原文说明。
Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.
中文简介正在准备中。当前显示原文说明。
Use Hugging Face Accelerate for PyTorch training-loop migration, distributed launch/configuration, DeepSpeed/FSDP/TPU backend setup, big-model inference/offload, checkpointing, tracking, and troubleshooting.
中文简介正在准备中。当前显示原文说明。
Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.
中文简介正在准备中。当前显示原文说明。