josephmisiti/awesome-machine-learning
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@ -41,7 +41,6 @@ Further resources:
- [Speech Recognition](#cpp-speech-recognition) - [Speech Recognition](#cpp-speech-recognition)
- [Sequence Analysis](#cpp-sequence-analysis) - [Sequence Analysis](#cpp-sequence-analysis)
- [Gesture Detection](#cpp-gesture-detection) - [Gesture Detection](#cpp-gesture-detection)
- [Reinforcement Learning](#cpp-reinforcement-learning)
- [Common Lisp](#common-lisp) - [Common Lisp](#common-lisp)
- [General-Purpose Machine Learning](#common-lisp-general-purpose-machine-learning) - [General-Purpose Machine Learning](#common-lisp-general-purpose-machine-learning)
- [Clojure](#clojure) - [Clojure](#clojure)
@ -282,10 +281,6 @@ Further resources:
#### Gesture Detection #### Gesture Detection
* [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. * [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.
<a name="cpp-reinforcement-learning"></a>
#### Reinforcement Learning
* [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).
<a name="common-lisp"></a> <a name="common-lisp"></a>
## Common Lisp ## Common Lisp
@ -1276,7 +1271,7 @@ be
* [PyBroker](https://github.com/edtechre/pybroker) - Algorithmic Trading with Machine Learning. * [PyBroker](https://github.com/edtechre/pybroker) - Algorithmic Trading with Machine Learning.
* [Frouros](https://github.com/IFCA/frouros): Frouros is an open source Python library for drift detection in machine learning systems. * [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. * [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.
<a name="python-data-analysis--data-visualization"></a> <a name="python-data-analysis--data-visualization"></a>
#### Data Analysis / Data Visualization #### Data Analysis / Data Visualization

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courses.md
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@ -65,4 +65,3 @@ The following is a list of free or paid online courses on machine learning, stat
* [Machine Learning Engineering for Production (MLOps) Specialization (DeepLearning.ai)](https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops) - $ but financial aid available * [Machine Learning Engineering for Production (MLOps) Specialization (DeepLearning.ai)](https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops) - $ but financial aid available
* [LLMOps: Building Real-World Applications With Large Language Models](https://www.comet.com/site/llm-course/) - free * [LLMOps: Building Real-World Applications With Large Language Models](https://www.comet.com/site/llm-course/) - free
* [Prompt Engineering for Vision Models on DeepLearningAI](https://www.deeplearning.ai/short-courses/prompt-engineering-for-vision-models/) - free * [Prompt Engineering for Vision Models on DeepLearningAI](https://www.deeplearning.ai/short-courses/prompt-engineering-for-vision-models/) - free
* [Data Science Machine Learning Course on Scaler](https://www.scaler.com/courses/data-science-machine-learning-course/) - $