add Align-Anything (#618)

README.md

@@ -446,6 +446,7 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
 
 
 ## Industry Strength NLP
+* [Align-Anything](https://github.com/PKU-Alignment/align-anything) ![](https://img.shields.io/github/stars/PKU-Alignment/align-anything.svg?style=social) - Align-Anything aims to align any modality large models (any-to-any models), including LLMs, VLMs, and others, with human intentions and values
 * [Blackstone](https://github.com/ICLRandD/Blackstone) ![](https://img.shields.io/github/stars/ICLRandD/Blackstone.svg?style=social) - Blackstone is a spaCy model and library for processing long-form, unstructured legal text. Blackstone is an experimental research project from the Incorporated Council of Law Reporting for England and Wales' research lab, ICLR&D.
 * [BERTopic](https://github.com/MaartenGr/BERTopic) ![](https://img.shields.io/github/stars/MaartenGr/BERTopic.svg?style=social) - BERTopic is a topic modeling technique that leverages transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions.
 * [Burr](https://github.com/dagworks-inc/burr) ![](https://img.shields.io/github/stars/dagworks-inc/burr.svg?style=social) - Burr helps you develop applications that make decisions (chatbot, agent, simulation). It comes with production-ready features (telemetry, persistence, deployment, etc.) and the open-source, free, and local-first Burr UI.
@@ -494,7 +495,6 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
 * [LightFM](https://github.com/lyst/lightfm) ![](https://img.shields.io/github/stars/lyst/lightfm.svg?style=social) - LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback
 * [NVTabular](https://github.com/NVIDIA-Merlin/NVTabular) ![](https://img.shields.io/github/stars/NVIDIA-Merlin/NVTabular.svg?style=social) -  NVTabular is a feature engineering and preprocessing library for tabular data that is designed to easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems.
 * [Merlin](https://github.com/NVIDIA-Merlin/Merlin) ![](https://img.shields.io/github/stars/NVIDIA-Merlin/Merlin.svg?style=social) - NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
-* [OmniSafe](https://github.com/PKU-Alignment/omnisafe) ![](https://img.shields.io/github/stars/PKU-Alignment/omnisafe.svg?style=social) - OmniSafe is a comprehensive and reliable benchmark for safe reinforcement learning, covering a multitude of SafeRL domains and delivering a new suite of testing environments.
 * [Recommenders](https://github.com/recommenders-team/recommenders) ![](https://img.shields.io/github/stars/recommenders-team/recommenders.svg?style=social) - Recommenders contains benchmark and best practices for building recommendation systems, provided as Jupyter notebooks.
 * [Surprise](https://github.com/nicolashug/surprise) ![](https://img.shields.io/github/stars/nicolashug/surprise.svg?style=social) - Surprise is a Python scikit for building and analyzing recommender systems that deal with explicit rating data.
 * [YouTokenToMe](https://github.com/vkcom/youtokentome) ![](https://img.shields.io/github/stars/vkcom/youtokentome.svg?style=social) - YouTokenToMe is an unsupervised text tokenizer focused on computational efficiency. It currently implements fast [Byte Pair Encoding](https://arxiv.org/abs/1508.07909) (BPE).
@@ -528,6 +528,7 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
 * [MiniWorld](https://github.com/Farama-Foundation/Miniworld) ![](https://img.shields.io/github/stars/Farama-Foundation/Miniworld.svg?style=social) - MiniWorld is a minimalistic 3D interior environment simulator for reinforcement learning & robotics research.
 * [ML-Agents](https://github.com/Unity-Technologies/ml-agents) ![](https://img.shields.io/github/stars/Unity-Technologies/ml-agents.svg?style=social) - ML-Agents is an open-source project that enables games and simulations to serve as environments for training reinforcement learning intelligent agents.
 * [MushroomRL](https://github.com/MushroomRL/mushroom-rl) ![](https://img.shields.io/github/stars/MushroomRL/mushroom-rl.svg?style=social) - MushroomRL is a Python reinforcement learning (RL) library whose modularity allows to easily use well-known Python libraries for tensor computation (e.g. PyTorch, Tensorflow) and RL benchmarks (e.g. OpenAI Gym, PyBullet, Deepmind Control Suite).
+* [OmniSafe](https://github.com/PKU-Alignment/omnisafe) ![](https://img.shields.io/github/stars/PKU-Alignment/omnisafe.svg?style=social) - OmniSafe is an infrastructural framework designed to accelerate safe reinforcement learning (RL) research.
 * [Overcooked-AI](https://github.com/HumanCompatibleAI/overcooked_ai) ![](https://img.shields.io/github/stars/HumanCompatibleAI/overcooked_ai.svg?style=social) - Overcooked-AI is a benchmark environment for fully cooperative human-AI task performance, based on the wildly popular video game Overcooked.
 * [PARL](https://github.com/PaddlePaddle/PARL) ![](https://img.shields.io/github/stars/PaddlePaddle/PARL.svg?style=social) - PARL is a flexible and high-efficient reinforcement learning framework.
 * [PettingZoo](https://github.com/Farama-Foundation/PettingZoo) ![](https://img.shields.io/github/stars/Farama-Foundation/PettingZoo.svg?style=social) - PettingZoo is a Python library for conducting research in multi-agent reinforcement learning, akin to a multi-agent version of Gymnasium.