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Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills74 installs15,373 views
- Optimization Meta Rl"Routes Papers-in-100-Lines optimizer, activation, layer,Votes: 0GitHub stars: 247
- Paper Catalog And Execution"Locate paper implementations and produce safe catalog-based run orVotes: 0GitHub stars: 247
- Parl"Use PARL reinforcement-learning framework workflows, coreVotes: 0GitHub stars: 247
- Algorithm Recipes"Select and adapt PARL built-in reinforcement-learning algorithmsVotes: 0GitHub stars: 247
- Core Framework"Build and debug PARL core Model, Algorithm, and Agent code, selectVotes: 0GitHub stars: 247
- Environment Utils"Use PARL environment wrappers, replay buffers, schedulers, CSVVotes: 0GitHub stars: 247
- Evo Kit"Build, inspect, and safely use PARL EvoKit, the optional C++Votes: 0GitHub stars: 247
- Waymax Rl"Operate PARL's optional all-GPU Waymax-RL autonomous-drivingVotes: 0GitHub stars: 247
- Xparl Distributed"Guide safe PARL xparl cluster lifecycle, remote_class actors,Votes: 0GitHub stars: 247
- Pdebench"Guide PDEBench scientific-machine-learning benchmark workflows forVotes: 0GitHub stars: 247
- Data And Download"Safely inspect PDEBench dataset metadata and local HDF5 data,Votes: 0GitHub stars: 247
- Data Generation"Route safe, reproducible PDEBench simulation generation, Hydra/JAXVotes: 0GitHub stars: 247
- Models And Evaluation"Route PDEBench forward and inverse model configuration, safe modelVotes: 0GitHub stars: 247
- Peft"Use PEFT for parameter-efficient fine-tuning adapters, LoRA andVotes: 0GitHub stars: 247
- Adapter Core"Core PEFT adapter setup, configuration, target module selection,Votes: 0GitHub stars: 247
- Lora And Quantization"Configure PEFT LoRA, LoRA variants, and quantized-base workflows,Votes: 0GitHub stars: 247
- Prompt And Soft Methods"Configure and troubleshoot PEFT prompt-learning and soft-tokenVotes: 0GitHub stars: 247
- Repo Development"Use when modifying PEFT itself, preparing a PEFT pull request,Votes: 0GitHub stars: 247
- Save Load Merge"Save, load, inspect, merge, hotswap, mix, and convert PEFTVotes: 0GitHub stars: 247
- Specialized Tuners"Select, configure, and troubleshoot PEFT's specializedVotes: 0GitHub stars: 247
- Training And Integrations"Use PEFT with Transformers Trainer, Accelerate, FSDP, DeepSpeed,Votes: 0GitHub stars: 247
- Pennylane"Use PennyLane for quantum circuits, differentiable QNodes,Votes: 0GitHub stars: 247
- Applications Qchem Resource"Use PennyLane application modules for qchem, mappings, QAOA,Votes: 0GitHub stars: 247
- Circuits Devices"Build and debug PennyLane QNodes, devices, measurements, shots,Votes: 0GitHub stars: 247
- Gradients Interfaces"Configure PennyLane gradients, differentiable interfaces,Votes: 0GitHub stars: 247
- Io Data Logging"Use PennyLane circuit import/export, dataset loading, debuggingVotes: 0GitHub stars: 247
- Operators Transforms"Use PennyLane operations, templates, observables, op math,Votes: 0GitHub stars: 247
- Repo Development"Work safely in a PennyLane source checkout: focused tests,Votes: 0GitHub stars: 247
- Perceptual Similarity"Routes LPIPS image-similarity, BAPPS evaluation, and BAPPSVotes: 0GitHub stars: 247
- Bapps Evaluation"Routes BAPPS 2AFC and JND evaluation workflows for LPIPS,Votes: 0GitHub stars: 247
- Bapps Training"Routes BAPPS training, fine-tuning, checkpointing, and smoke-testVotes: 0GitHub stars: 247
- Metric Usage"Routes LPIPS pairwise comparison, directory comparison, spatialVotes: 0GitHub stars: 247
- Petals"Use Petals for distributed large-language-model inference, promptVotes: 0GitHub stars: 247
- Benchmarks Maintenance"Construct safe Petals benchmark command templates, choose tinyVotes: 0GitHub stars: 247
- Client Inference"Use Petals client APIs for distributed model loading, generation,Votes: 0GitHub stars: 247
- Distributed Blocks"Operate Petals RemoteSequential block sequences, local blockVotes: 0GitHub stars: 247
- Prompt Tuning"Operate Petals prompt-tuning, deep prompt-tuning, andVotes: 0GitHub stars: 247
- Server Swarms"Operate Petals server and DHT swarm commands for public capacity,Votes: 0GitHub stars: 247
- Petastorm"Routes Petastorm workflows for reading, writing, and convertingVotes: 0GitHub stars: 247
- Create Datasets"Routes Petastorm dataset creation, schema design, metadata repair,Votes: 0GitHub stars: 247
- Read Datasets"Routes Petastorm dataset-reading workflows, including plain PythonVotes: 0GitHub stars: 247
- Spark Converter"Routes Spark DataFrame conversion workflows that materializeVotes: 0GitHub stars: 247
- Pettingzoo"Use, select, author, validate, wrap, and integrate PettingZooVotes: 0GitHub stars: 247
- Custom Environments"Create and review PettingZoo AEC and Parallel custom environments,Votes: 0GitHub stars: 247
- Environment Families"Choose PettingZoo environment families, install minimal extras,Votes: 0GitHub stars: 247
- Testing And Validation"Run and interpret PettingZoo compliance, seed, render, max-cycles,Votes: 0GitHub stars: 247
- Training Integrations"Adapt PettingZoo training tutorials for CleanRL, Tianshou, SB3,Votes: 0GitHub stars: 247
- Use Environments"Use PettingZoo AEC and Parallel environments safely, includingVotes: 0GitHub stars: 247
- Wrappers And Utilities"Use PettingZoo conversion wrappers, utility wrappers,Votes: 0GitHub stars: 247
- Pfllib"Routes PFLlib tasks for dataset preparation, federated-learningVotes: 0GitHub stars: 247