Repository Index

A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

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

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

• python
• fine-tuning
• gguf
• huggingface

Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!

• dpo
• fine-tuning
• inference
• llama

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

• diffusion
• lora
• stable-diffusion
• dreambooth

privacy-first Android music player built with Material 3 Expressive. Play offline, sync lyrics, fine-tune with equalizer presets, and cast to your devices.

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

• tensorflow
• graph
• darknet
• deep-learning

AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.

• aws
• aws-lambda
• serverless
• stepfunctions

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

• dependency-graph

A local chatbot fine-tuned by bilibili user comments.

Turn expensive prompts into cheap fine-tuned models

• ai
• llm
• llmops
• prompt-engineering

Code to pretrain, fine-tune, and evaluate DreamZero and run sim & real-world evals

A modular RL library to fine-tune language models to human preferences

• language-modeling
• nlp
• reinforcement-learning
• dialogue-generation

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

The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge

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.

Code for paper Fine-tune BERT for Extractive Summarization

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

LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method.

Solarized redesigned: fine-tuned color palette for programmers with focus on readability.

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.

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

• artificial-intelligence
• clip
• pathology
• vision-and-language