Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
The English summary is being prepared. Showing the original description.
Use the DeepXiv SDK for citation-aware academic and web research through its Python Reader, deepxiv CLI, progressive paper APIs, optional local LangGraph agent, PMC, bioRxiv/medRxiv, and trending workflows.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
Use this repo skill when a task needs DeepXiv's hosted literature service or its optional local research agent. It teaches a later Researcher how to choose between the Python SDK and CLI, preserve citations and evidence strength, and avoid credential, quota, truncation, and stale-API mistakes.
python -c "import deepxiv_sdk; print(deepxiv_sdk.__version__)" and
deepxiv --help. If the executable lists an older command set, repair the
installation before using route-specific flags.python -m pip install deepxiv-sdk. For the
optional local OpenAI-compatible LangGraph agent use
python -m pip install "deepxiv-sdk[agent]" (or [all]) and install
tiktoken separately if the optional-import probe reports it missing.ask
requires a registered account key and has a separate agentic quota.Reader, hosted agentic search, source/citation handling, progressive
reading, biomedical sources, PMC, and trending signals.Agent, LangGraph tools, provider options, persistent paper context,
budgets, and circuit-breaker behavior.brief first, then
head, one or two sections, or preview; avoid raw/json for routine
screening.agent_search and agent_search_stream distinguish arXiv and web
flags. Preserve arXiv IDs or URLs, separate retrieved sources from sources
cited in the answer, and reject answer_truncated or streamed error output
as complete evidence.No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
The English summary is being prepared. Showing the original description.
Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.
The English summary is being prepared. Showing the original description.
Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.
The English summary is being prepared. Showing the original description.
Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.
The English summary is being prepared. Showing the original description.