remove deprecated tools

Author: zhimin-z

README.md

@@ -340,7 +340,6 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
 * [RewardBench](https://github.com/allenai/reward-bench) ![](https://img.shields.io/github/stars/allenai/reward-bench.svg?style=social) - RewardBench is a benchmark designed to evaluate the capabilities and safety of reward models.
 * [RLBench](https://github.com/stepjam/RLBench) ![](https://img.shields.io/github/stars/stepjam/RLBench.svg?style=social) - RLBench is an ambitious large-scale benchmark and learning environment designed to facilitate research in a number of vision-guided manipulation research areas, including: reinforcement learning, imitation learning, multi-task learning, geometric computer vision, and in particular, few-shot learning.
 * [SimplerEnv](https://github.com/simpler-env/SimplerEnv) ![](https://img.shields.io/github/stars/simpler-env/SimplerEnv.svg?style=social) - SimplerEnv is a simulated manipulation policy evaluation environments for real robot setups.
-* [simple-evals](https://github.com/openai/simple-evals) ![](https://img.shields.io/github/stars/openai/simple-evals.svg?style=social) - simple-evals is a lightweight library for evaluating language models.
 * [SwanLab](https://github.com/SwanHubX/SwanLab) ![](https://img.shields.io/github/stars/SwanHubX/SwanLab.svg?style=social) - SwanLab is an AI training tracking and visualization tool.
 * [Speech-to-Text Benchmark](https://github.com/Picovoice/speech-to-text-benchmark) ![](https://img.shields.io/github/stars/Picovoice/speech-to-text-benchmark.svg?style=social) - Speech-to-Text Benchmark is a minimalist and extensible framework for benchmarking different speech-to-text engines.
 * [TensorFlow Model Analysis](https://github.com/tensorflow/model-analysis) ![](https://img.shields.io/github/stars/tensorflow/model-analysis.svg?style=social) - TensorFlow Model Analysis (TFMA) is a library for evaluating TensorFlow models on large amounts of data in a distributed manner, using the same metrics defined in their trainer.