Learn how to develop, deploy and iterate on production-grade ML applications.
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deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
Oxford Deep NLP 2017 course
YSDA course in Natural Language Processing
A collection of machine learning examples and tutorials.
Learn to write Rust procedural macros [Rust Latam conference, Montevideo Uruguay, March 2019]
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
- artificial-intelligence
- deep-learning
- deep-neural-networks
- deep-reinforcement-learning
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)
JS Expert Week 8.0 - 🎥Pre processing videos before uploading in the browser 😏
- demuxer
- javascript
- mp4
- mp4box
Machine Learning University: Accelerated Natural Language Processing Class
👩🏫 Advanced NLP with spaCy: A free online course
- spacy
- nlp
- natural-language-processing
- online-course
深度有趣
- mit-license
- python
- deep-learning
- computer-vision
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"