Add lorax & maestro for finetune projects

Signed-off-by: kerthcet <[email protected]>

README.md

@@ -88,6 +88,8 @@
 | Name | Stats | About |
 | ---- | ---- | ---- |
 | **[Axolotl](https://github.com/axolotl-ai-cloud/axolotl)** | ![Stars](https://img.shields.io/github/stars/axolotl-ai-cloud/axolotl.svg) </br> ![Release](https://img.shields.io/github/release/axolotl-ai-cloud/axolotl) </br> ![Contributors](https://img.shields.io/github/contributors/axolotl-ai-cloud/axolotl) | Go ahead and axolotl questions |
+| **[LoRAX](https://github.com/predibase/lorax)** | ![Stars](https://img.shields.io/github/stars/predibase/lorax.svg) </br> ![Release](https://img.shields.io/github/release/predibase/lorax) </br> ![Contributors](https://img.shields.io/github/contributors/predibase/lorax) | Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs |
+| **[maestro](https://github.com/roboflow/maestro)** | ![Stars](https://img.shields.io/github/stars/roboflow/maestro.svg) </br> ![Release](https://img.shields.io/github/release/roboflow/maestro) </br> ![Contributors](https://img.shields.io/github/contributors/roboflow/maestro) | streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL |
 | **[torchtune](https://github.com/pytorch/torchtune)** | ![Stars](https://img.shields.io/github/stars/pytorch/torchtune.svg) </br> ![Release](https://img.shields.io/github/release/pytorch/torchtune) </br> ![Contributors](https://img.shields.io/github/contributors/pytorch/torchtune) | A Native-PyTorch Library for LLM Fine-tuning |
 | **[unsloth](https://github.com/unslothai/unsloth)** | ![Stars](https://img.shields.io/github/stars/unslothai/unsloth.svg) </br> ![Release](https://img.shields.io/github/release/unslothai/unsloth) </br> ![Contributors](https://img.shields.io/github/contributors/unslothai/unsloth) | Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory |