Plugins
4 pluginscurated
Competitive Battlecard Creation
Analyze competitor, score dimensions, and produce a battlecard with positioning and objection handling.
8 skills · plugin
curated
GKE Batch & Inference
For teams running batch/HPC and AI/ML inference workloads on GKE with specialized hardware.
2 skills · plugin
curated
Competitive Battlecard
Install this pack to create a sales-ready competitive battlecard with positioning, feature comparison, and objection handling.
5 skills · plugin
@anantha-236
Everything Claude Code Main
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, rules, and legacy command shims evolved over 10+ months of intensive daily use
100 skills · plugin
Results for “bat”
14 skills
samyakjhaveri eval-run
Launches a model evaluation batch with parameter collection, pre-flight checks, execution, and post-run analysis for interactive or foreground runs.
0
lord1egypt modal-serverless-gpu
Run ML workloads on Modal's serverless GPU cloud: deploy models as auto-scaling APIs, run batch jobs, and schedule tasks with pay-per-second GPU pricing.
2
orchestra-research serving-llms-vllm
Deploy and serve LLMs with high throughput using vLLM's PagedAttention and continuous batching. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism for production inference.
10.4k · bundle
qhjqhj00 ray-data
Process large ML datasets in parallel across CPU or GPU clusters, with streaming execution, multi-format I/O, and integration with Ray Train, PyTorch, and TensorFlow for batch inference and preprocessing pipelines.
3 · bundle
samyakjhaveri overnight-eval
Launches long-running evaluation batches in isolated tmux sessions with pre-flight verification, monitoring, and post-flight analysis for unattended runs.
0
ecnu-icalk csv
Generates Python code to batch-translate the English column of tab-separated CSV files while preserving the original Chinese column and output format.
559
More results
orchestra-research modal-serverless-gpu
Run ML workloads on Modal's serverless GPU cloud platform with auto-scaling, pay-per-second pricing, and Python-native infrastructure.
10.4k · bundle
k-dense-ai modal
Deploy and serve AI/ML models on Modal's serverless cloud platform with on-demand GPUs, autoscaling containers, persistent storage, and scheduled jobs.
30.2k · bundle
orchestra-research skypilot-multi-cloud-orchestration
Run ML training and batch jobs across multiple clouds with automatic cost optimization, spot instance recovery, and unified orchestration.
10.4k · bundle
k-dense-ai scvi-tools
Provides deep generative models for single-cell omics analysis, including probabilistic batch correction, transfer learning, differential expression, and multi-modal integration.
30.2k · bundle
qhjqhj00 runtime
Benchmarks inference latency and computational runtime of transformer models and MLX operations across Apple Silicon and NVIDIA GPU backends, with configurable input lengths and batch sizes.
3
orchestra-research ml-training-recipes
Provides battle-tested PyTorch training recipes for LLMs, vision, diffusion, and biomedical domains, covering training loops, optimizer selection, LR scheduling, mixed precision, and debugging.
10.4k · bundle
nvidia nemo-mbridge-perf-sequence-packing
Validate and configure packed sequences and long-context training in Megatron-Bridge, distinguishing offline packed SFT for LLMs from in-batch packing for VLMs with correct context parallelism constraints.
2.2k · bundle
huggingface hf-cloud-sagemaker-deployment-planner
Plans and coordinates the deployment of a model to Amazon SageMaker AI, selecting the appropriate pathway (real-time, serverless, async, batch, or Bedrock CMI) based on model type, traffic, latency, and cost constraints.
10.8k