Merge 00fcac2f91 into 4964cff362

README.md

@@ -131,7 +131,6 @@ Further resources:
       - [Federated Learning](#python-federated-learning)
       - [Kaggle Competition Source Code](#python-kaggle-competition-source-code)
       - [Reinforcement Learning](#python-reinforcement-learning)
-      - [Speech Recognition](#python-speech-recognition)
   - [Ruby](#ruby)
       - [Natural Language Processing](#ruby-natural-language-processing)
       - [General-Purpose Machine Learning](#ruby-general-purpose-machine-learning)
@@ -1278,7 +1277,6 @@ be
 * [Frouros](https://github.com/IFCA/frouros): Frouros is an open source Python library for drift detection in machine learning systems.
 * [CometML](https://github.com/comet-ml/comet-examples): The best-in-class MLOps platform with experiment tracking, model production monitoring, a model registry, and data lineage from training straight through to production.
 * [Okrolearn](https://github.com/Okerew/okrolearn): A python machine learning library created to combine powefull data analasys feautures with tensors and machine learning components, while mantaining support for other libraries.
-* [Opik](https://github.com/comet-ml/opik): Evaluate, trace, test, and ship LLM applications across your dev and production lifecycles.
 
 <a name="python-data-analysis--data-visualization"></a>
 #### Data Analysis / Data Visualization
@@ -1476,10 +1474,6 @@ be
 * [RLlib](https://github.com/ray-project/ray) - RLlib is an industry level, highly scalable RL library for tf and torch, based on Ray. It's used by companies like Amazon and Microsoft to solve real-world decision making problems at scale.
 * [DI-engine](https://github.com/opendilab/DI-engine) - DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems.
 
-<a name="python-speech-recognition"></a>
-#### Speech Recognition
-* [EspNet](https://github.com/espnet/espnet) - ESPnet is an end-to-end speech processing toolkit for tasks like speech recognition, translation, and enhancement, using PyTorch and Kaldi-style data processing.
-
 <a name="ruby"></a>
 ## Ruby