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@ -41,6 +41,7 @@ Further resources:
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- [Speech Recognition](#cpp-speech-recognition)
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- [Sequence Analysis](#cpp-sequence-analysis)
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- [Gesture Detection](#cpp-gesture-detection)
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- [Reinforcement Learning](#cpp-reinforcement-learning)
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- [Common Lisp](#common-lisp)
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- [General-Purpose Machine Learning](#common-lisp-general-purpose-machine-learning)
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- [Clojure](#clojure)
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@ -281,6 +282,10 @@ Further resources:
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#### Gesture Detection
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* [grt](https://github.com/nickgillian/grt) - The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
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<a name="cpp-reinforcement-learning"></a>
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#### Reinforcement Learning
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* [RLtools](https://github.com/rl-tools/rl-tools) - The fastest deep reinforcement learning library for continuous control, implemented header-only in pure, dependency-free C++ (Python bindings available as well).
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<a name="common-lisp"></a>
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## Common Lisp
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@ -1271,7 +1276,7 @@ be
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* [PyBroker](https://github.com/edtechre/pybroker) - Algorithmic Trading with Machine Learning.
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* [Frouros](https://github.com/IFCA/frouros): Frouros is an open source Python library for drift detection in machine learning systems.
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* [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.
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* [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.
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<a name="python-data-analysis--data-visualization"></a>
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#### Data Analysis / Data Visualization
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@ -65,3 +65,4 @@ The following is a list of free or paid online courses on machine learning, stat
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* [Machine Learning Engineering for Production (MLOps) Specialization (DeepLearning.ai)](https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops) - $ but financial aid available
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* [LLMOps: Building Real-World Applications With Large Language Models](https://www.comet.com/site/llm-course/) - free
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* [Prompt Engineering for Vision Models on DeepLearningAI](https://www.deeplearning.ai/short-courses/prompt-engineering-for-vision-models/) - free
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* [Data Science Machine Learning Course on Scaler](https://www.scaler.com/courses/data-science-machine-learning-course/) - $
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