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Azure Form Recognizer Java

azure-ai-formrecognizer-java

sickn33/antigravity-awesome-skills

Build document analysis apps in Java with Azure AI Document Intelligence SDK, using prebuilt models for layouts, receipts, invoices, IDs, and training custom models for structured data extraction.

Azure Form Recognizer Java

azure-ai-formrecognizer-java

sickn33/antigravity-awesome-skills

Build document analysis apps in Java with Azure AI Document Intelligence SDK, using prebuilt models for layouts, receipts, invoices, IDs, and training custom models for structured data extraction.

DeepSpeed Training Assistant

Orchestra-Research/AI-Research-SKILLs

Provides expert guidance for DeepSpeed distributed training, covering ZeRO optimizations, pipeline parallelism, mixed precision, DeepNVMe I/O, and best practices for debugging or deploying large-scale models.

TorchTitan LLM Pretraining

distributed-llm-pretraining-torchtitan

Orchestra-Research/AI-Research-SKILLs

TorchTitan delivers PyTorch-native distributed LLM pretraining with composable 4D parallelism (FSDP2, TP, PP, CP), Float8, torch.compile, and checkpointing so you can scale Llama 3.1, DeepSeek V3, or custom models across 8 to 512+ GPUs.

TRL Reinforcement Fine-Tuning

fine-tuning-with-trl

Orchestra-Research/AI-Research-SKILLs

Provides TRL-based RLHF fine-tuning flows covering SFT, reward-model training, PPO, DPO, and GRPO so teams can align HuggingFace models with preferences using both pipeline scripts and CLI helpers.

PyTorch FSDP2 Training

Orchestra-Research/AI-Research-SKILLs

Adds PyTorch FSDP2 setup to training scripts so you can initialize torchrun, bottom-up shard modules, configure mixed precision/offload, and checkpoint via DCP when models outgrow a single GPU.

Pyvene Causal Interventions

pyvene-interventions

Orchestra-Research/AI-Research-SKILLs

Declarative toolkit for performing causal interventions on PyTorch models, covering activation patching, causal tracing, and interchange training so researchers can test hypotheses and reproduce experiments.

STRIDE Threat Modeling

stride-analysis-patterns

sickn33/antigravity-awesome-skills

Structured security threat identification using STRIDE to underwrite threat modeling sessions, architecture reviews, documentation, training, and compliance preparation.

PyTorch Training Recipes

ml-training-recipes

Orchestra-Research/AI-Research-SKILLs

Battle-tested PyTorch training recipes covering loops, optimizer choices, learning-rate schedules, mixed precision, debugging, and experimentation guidance for LLMs, vision, diffusion, biomedical, and scientific models.

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