Claude Skills by VectorSpaceLab

"Routes TensorFlow Privacy users who want privacy budgets,

"Routes TensorFlow Privacy users who want membership inference

"Routes TensorFlow Privacy users who need low-level DPQuery stacks,

"Routes TensorFlow Privacy users who want to train differentially

"Guides agents in adapting TensorFlow Project Template

"Guide TensorFlow Quantum workflows for circuit tensors, Keras

Route TFQ dataset helpers and notebook-style workflows.

"Choose and use TensorFlow Quantum differentiators and tiny

"Route TensorFlow Quantum Keras-layer tasks for circuit wiring,

"Route TFQ tensor conversion, raw execution-op getters, backend

"Route TensorFlow template application workflows for data

Route CSV, LIBSVM, TFRecords, and iris fixture questions.

"Use this sub-skill to build TensorFlow Serving PredictRequest

"Route questions about TF1 dense and sparse training,

"Guides legacy TensorFlow 1.x YOLOv3 workflows for data

"Guides TensorFlow YOLOv3 checkpoint conversion, COCO

"Prepares YOLO annotation lists, class-name files, anchors, and

"Evaluates YOLOv3 checkpoints, evaluate.py outputs, and Pascal

"Guides agents through tensorflow-yolov3 frozen .pb image and video

"Guides tensorflow-yolov3 YOLOv3 training setup, custom datasets,

"Guides TensorFlow YOLOv3/YOLOv4 conversion, inference, training

"Routes Android TFLite asset, Gradle, classifier, GPU delegate, and

"Routes image/video detection, TFLite inference, mAP evaluation,

"Routes Darknet weights, TensorFlow SavedModel, TFLite,

"Routes COCO/VOC annotation preparation, class and anchor config,

"Guide Tensorforce reinforcement-learning package workflows,

"Use Tensorforce Agent.create, Agent.load, algorithm aliases,

"Create and troubleshoot Tensorforce environments, custom

"Configure Tensorforce networks, layers, memories, policies,

"Save, load, checkpoint, summarize, record, pretrain, track, and

"Use Tensorforce Runner training/evaluation workflows,

"Routes TensorLayer model-building, data utilities, vision, text,

"Routes TensorLayer layer, model, serialization, and

"Routes TensorLayer file, preprocessing, iteration, and

Routes TensorLayer reinforcement-learning utilities and tutorial workflows.

Routes TensorLayer NLP, word-embedding, PTB, and seq2seq workflows.

Routes TensorLayer training loops, evaluation helpers, and CLI workflows.

"Routes TensorLayer pretrained vision models, image apps, and

"Use Tensorpack, a TF1-compatible TensorFlow training interface

"Use Tensorpack DataFlow, datasets, augmentors, serializers, input

"Use Tensorpack PredictConfig, OfflinePredictor, SmartInit,

"Use Tensorpack ModelDesc, TrainConfig, trainers, callbacks,

"Guide TensorRT demo construction, GPU inference, matting, legacy

"Run and troubleshoot the repository's TensorRT YOLOv3/YOLOv4 and

"Build and diagnose TensorRT engines for the repository's Caffe

"Evaluate TensorRT SSD and YOLO object detectors on COCO-style bbox

"Operate the repository's legacy TensorRT Caffe demos: build

"Build, validate, and run the repository's MODNet matting pipeline

"Use Tevatron for neural retrieval workflows including data

"Prepare and validate Tevatron JSON/JSONL datasets, rankings,