graniet

60 mods across 1 repository, 227 stars between them.

segment-anything

49

graniet/kheish

Skill Claude CodeCodex

Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.

227 1mo ago A 40 tokens copy · 88% Apache-2.0

stable-diffusion

50

graniet/kheish

Skill Claude CodeCodex

State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.

227 1mo ago A 43 tokens copy · 84% Apache-2.0

whisper

51

graniet/kheish

Skill Claude CodeCodex

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual…

227 1mo ago B 64 tokens copy · 95% Apache-2.0

dspy

52

graniet/kheish

Skill Claude CodeCodex

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming.

227 1mo ago A 32 tokens copy · 81% Apache-2.0

axolotl

53

graniet/kheish

Skill Claude CodeCodex

Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support.

227 1mo ago A 43 tokens copy · 91% Apache-2.0

grpo-rl-training

54

graniet/kheish

Skill Claude CodeCodex

Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training.

227 1mo ago A 20 tokens copy · 95% Apache-2.0

peft

55

graniet/kheish

Skill Claude CodeCodex

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

227 1mo ago A 75 tokens copy · 83% Apache-2.0

pytorch-fsdp

56

graniet/kheish

Skill Claude CodeCodex

Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2.

227 1mo ago B 31 tokens copy · 98% Apache-2.0

trl-fine-tuning

57

graniet/kheish

Skill Claude CodeCodex

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

227 1mo ago A 62 tokens copy · 91% Apache-2.0

unsloth

58

graniet/kheish

Skill Claude CodeCodex

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization.

227 1mo ago A 35 tokens copy · 83% Apache-2.0

obsidian

59

graniet/kheish

Skill Claude CodeCodex

Read, search, and create notes in the Obsidian vault.

227 1mo ago A 14 tokens original Apache-2.0

google-workspace

60

graniet/kheish

Skill Claude CodeCodex

Gmail, Calendar, Drive, Contacts, Sheets, and Docs integration via gws CLI (googleworkspace/cli). Uses OAuth2 with automatic token refresh via bridge script. Requires gws binary.

227 1mo ago A 40 tokens original Apache-2.0