Learn how to develop, deploy and iterate on production-grade ML applications.
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YSDA course in Natural Language Processing
Open Machine Learning course
- machine-learning
- python
- course
- deep-learning
Learn how to design, develop, deploy and iterate on production-grade ML applications.
NMA Computational Neuroscience course
- neuroscience
- machine-learning
- dynamic-systems
- stochastic-processes
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Machine Learning University: Accelerated Natural Language Processing Class
Materials for GWU DNSC 6279 and DNSC 6290.
- data-science
- data-mining
- data-visualization
- machine-learning
Exercises for the lecture "Selected Topics in Audio Signal Processing"