Repository Index

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

• machine-learning
• experiment-track
• deep-learning
• keras

Using Low-rank adaptation to quickly fine-tune diffusion models.

• diffusion
• lora
• stable-diffusion
• dreambooth

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

• tensorflow
• graph
• darknet
• deep-learning

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

• dependency-graph

Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property constraints.

• generative-ai
• materials-design
• materials-science

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

• 2d-segmentation
• adapter
• camouflage-images
• camouflaged-object-detection

Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders.

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

• apple-silicon
• deep-learning
• huggingface
• large-language-models

WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.